The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives

<p<Abstract</p< <p<Background</p< <p<Schizophrenia is a complex psychiatric disorder characterized by high phenotypic heterogeneity. Previous studies have distinguished between familial and sporadic forms of schizophrenia and have suggested clinical differentiation betw...
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Autor*in:	Derks Eske M [verfasserIn] Boks Marco PM [verfasserIn] Vermunt Jeroen K [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2012

Schlagwörter:	Family subtype Familial loading Multiplex Sporadic Phenotypic heterogeneity Schizophrenia Controls Factor analysis Latent class analysis Mixed model latent class analysis

Übergeordnetes Werk:	In: BMC Psychiatry - BMC, 2003, 12(2012), 1, p 71
Übergeordnetes Werk:	volume:12 ; year:2012 ; number:1, p 71

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/1471-244X-12-71

Katalog-ID:	DOAJ064992632

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allfields	10.1186/1471-244X-12-71 doi (DE-627)DOAJ064992632 (DE-599)DOAJ3ed39ee87f044ec1ac34661b8ad8dd4f DE-627 ger DE-627 rakwb eng RC435-571 Derks Eske M verfasserin aut The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Schizophrenia is a complex psychiatric disorder characterized by high phenotypic heterogeneity. Previous studies have distinguished between familial and sporadic forms of schizophrenia and have suggested clinical differentiation between patients and relatives from sporadic and multiplex families. We will introduce a more refined method to distinguish between family subtypes based on psychosis dimension profiles in the relatives of schizophrenia patients.</p< <p<Methods</p< <p<Positive, negative, disorganization, mania, and depression scores were assessed in 1,392 relatives. Mixed Model Latent Class Analysis was used to identify family subtypes. A family subtype is a relatively homogeneous group of families with similar symptom profiles in the relatives in these families. Next, we investigated in 616 schizophrenia patients whether family subtype was associated with symptom profiles, IQ, cannabis dependence/abuse, or age of onset of psychosis.</p< <p<Results</p< <p<Based on the data of relatives, we identified two different family types: “healthy” and “at risk for psychiatric disorder”. Patients from at risk families obtained higher positive scores compared to patients from healthy families (Wald(1) = 6.6293, p = 0.010). No significant differences were found in any of the remaining variables.</p< <p<Conclusions</p< <p<Our findings confirm the existence of high-risk families and although we did not establish an etiological basis for the distinction between family types, genetic studies might reveal whether family subtype is associated with genetic heterogeneity.</p< Family subtype Familial loading Multiplex Sporadic Phenotypic heterogeneity Schizophrenia Controls Factor analysis Latent class analysis Mixed model latent class analysis Psychiatry Boks Marco PM verfasserin aut Vermunt Jeroen K verfasserin aut In BMC Psychiatry BMC, 2003 12(2012), 1, p 71 (DE-627)331018799 (DE-600)2050438-X 1471244X nnns volume:12 year:2012 number:1, p 71 https://doi.org/10.1186/1471-244X-12-71 kostenfrei https://doaj.org/article/3ed39ee87f044ec1ac34661b8ad8dd4f kostenfrei http://www.biomedcentral.com/1471-244X/12/71 kostenfrei https://doaj.org/toc/1471-244X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2012 1, p 71
spelling	10.1186/1471-244X-12-71 doi (DE-627)DOAJ064992632 (DE-599)DOAJ3ed39ee87f044ec1ac34661b8ad8dd4f DE-627 ger DE-627 rakwb eng RC435-571 Derks Eske M verfasserin aut The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Schizophrenia is a complex psychiatric disorder characterized by high phenotypic heterogeneity. Previous studies have distinguished between familial and sporadic forms of schizophrenia and have suggested clinical differentiation between patients and relatives from sporadic and multiplex families. We will introduce a more refined method to distinguish between family subtypes based on psychosis dimension profiles in the relatives of schizophrenia patients.</p< <p<Methods</p< <p<Positive, negative, disorganization, mania, and depression scores were assessed in 1,392 relatives. Mixed Model Latent Class Analysis was used to identify family subtypes. A family subtype is a relatively homogeneous group of families with similar symptom profiles in the relatives in these families. Next, we investigated in 616 schizophrenia patients whether family subtype was associated with symptom profiles, IQ, cannabis dependence/abuse, or age of onset of psychosis.</p< <p<Results</p< <p<Based on the data of relatives, we identified two different family types: “healthy” and “at risk for psychiatric disorder”. Patients from at risk families obtained higher positive scores compared to patients from healthy families (Wald(1) = 6.6293, p = 0.010). No significant differences were found in any of the remaining variables.</p< <p<Conclusions</p< <p<Our findings confirm the existence of high-risk families and although we did not establish an etiological basis for the distinction between family types, genetic studies might reveal whether family subtype is associated with genetic heterogeneity.</p< Family subtype Familial loading Multiplex Sporadic Phenotypic heterogeneity Schizophrenia Controls Factor analysis Latent class analysis Mixed model latent class analysis Psychiatry Boks Marco PM verfasserin aut Vermunt Jeroen K verfasserin aut In BMC Psychiatry BMC, 2003 12(2012), 1, p 71 (DE-627)331018799 (DE-600)2050438-X 1471244X nnns volume:12 year:2012 number:1, p 71 https://doi.org/10.1186/1471-244X-12-71 kostenfrei https://doaj.org/article/3ed39ee87f044ec1ac34661b8ad8dd4f kostenfrei http://www.biomedcentral.com/1471-244X/12/71 kostenfrei https://doaj.org/toc/1471-244X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2012 1, p 71
allfields_unstemmed	10.1186/1471-244X-12-71 doi (DE-627)DOAJ064992632 (DE-599)DOAJ3ed39ee87f044ec1ac34661b8ad8dd4f DE-627 ger DE-627 rakwb eng RC435-571 Derks Eske M verfasserin aut The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Schizophrenia is a complex psychiatric disorder characterized by high phenotypic heterogeneity. Previous studies have distinguished between familial and sporadic forms of schizophrenia and have suggested clinical differentiation between patients and relatives from sporadic and multiplex families. We will introduce a more refined method to distinguish between family subtypes based on psychosis dimension profiles in the relatives of schizophrenia patients.</p< <p<Methods</p< <p<Positive, negative, disorganization, mania, and depression scores were assessed in 1,392 relatives. Mixed Model Latent Class Analysis was used to identify family subtypes. A family subtype is a relatively homogeneous group of families with similar symptom profiles in the relatives in these families. Next, we investigated in 616 schizophrenia patients whether family subtype was associated with symptom profiles, IQ, cannabis dependence/abuse, or age of onset of psychosis.</p< <p<Results</p< <p<Based on the data of relatives, we identified two different family types: “healthy” and “at risk for psychiatric disorder”. Patients from at risk families obtained higher positive scores compared to patients from healthy families (Wald(1) = 6.6293, p = 0.010). No significant differences were found in any of the remaining variables.</p< <p<Conclusions</p< <p<Our findings confirm the existence of high-risk families and although we did not establish an etiological basis for the distinction between family types, genetic studies might reveal whether family subtype is associated with genetic heterogeneity.</p< Family subtype Familial loading Multiplex Sporadic Phenotypic heterogeneity Schizophrenia Controls Factor analysis Latent class analysis Mixed model latent class analysis Psychiatry Boks Marco PM verfasserin aut Vermunt Jeroen K verfasserin aut In BMC Psychiatry BMC, 2003 12(2012), 1, p 71 (DE-627)331018799 (DE-600)2050438-X 1471244X nnns volume:12 year:2012 number:1, p 71 https://doi.org/10.1186/1471-244X-12-71 kostenfrei https://doaj.org/article/3ed39ee87f044ec1ac34661b8ad8dd4f kostenfrei http://www.biomedcentral.com/1471-244X/12/71 kostenfrei https://doaj.org/toc/1471-244X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2012 1, p 71
allfieldsGer	10.1186/1471-244X-12-71 doi (DE-627)DOAJ064992632 (DE-599)DOAJ3ed39ee87f044ec1ac34661b8ad8dd4f DE-627 ger DE-627 rakwb eng RC435-571 Derks Eske M verfasserin aut The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Schizophrenia is a complex psychiatric disorder characterized by high phenotypic heterogeneity. Previous studies have distinguished between familial and sporadic forms of schizophrenia and have suggested clinical differentiation between patients and relatives from sporadic and multiplex families. We will introduce a more refined method to distinguish between family subtypes based on psychosis dimension profiles in the relatives of schizophrenia patients.</p< <p<Methods</p< <p<Positive, negative, disorganization, mania, and depression scores were assessed in 1,392 relatives. Mixed Model Latent Class Analysis was used to identify family subtypes. A family subtype is a relatively homogeneous group of families with similar symptom profiles in the relatives in these families. Next, we investigated in 616 schizophrenia patients whether family subtype was associated with symptom profiles, IQ, cannabis dependence/abuse, or age of onset of psychosis.</p< <p<Results</p< <p<Based on the data of relatives, we identified two different family types: “healthy” and “at risk for psychiatric disorder”. Patients from at risk families obtained higher positive scores compared to patients from healthy families (Wald(1) = 6.6293, p = 0.010). No significant differences were found in any of the remaining variables.</p< <p<Conclusions</p< <p<Our findings confirm the existence of high-risk families and although we did not establish an etiological basis for the distinction between family types, genetic studies might reveal whether family subtype is associated with genetic heterogeneity.</p< Family subtype Familial loading Multiplex Sporadic Phenotypic heterogeneity Schizophrenia Controls Factor analysis Latent class analysis Mixed model latent class analysis Psychiatry Boks Marco PM verfasserin aut Vermunt Jeroen K verfasserin aut In BMC Psychiatry BMC, 2003 12(2012), 1, p 71 (DE-627)331018799 (DE-600)2050438-X 1471244X nnns volume:12 year:2012 number:1, p 71 https://doi.org/10.1186/1471-244X-12-71 kostenfrei https://doaj.org/article/3ed39ee87f044ec1ac34661b8ad8dd4f kostenfrei http://www.biomedcentral.com/1471-244X/12/71 kostenfrei https://doaj.org/toc/1471-244X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2012 1, p 71
allfieldsSound	10.1186/1471-244X-12-71 doi (DE-627)DOAJ064992632 (DE-599)DOAJ3ed39ee87f044ec1ac34661b8ad8dd4f DE-627 ger DE-627 rakwb eng RC435-571 Derks Eske M verfasserin aut The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Schizophrenia is a complex psychiatric disorder characterized by high phenotypic heterogeneity. Previous studies have distinguished between familial and sporadic forms of schizophrenia and have suggested clinical differentiation between patients and relatives from sporadic and multiplex families. We will introduce a more refined method to distinguish between family subtypes based on psychosis dimension profiles in the relatives of schizophrenia patients.</p< <p<Methods</p< <p<Positive, negative, disorganization, mania, and depression scores were assessed in 1,392 relatives. Mixed Model Latent Class Analysis was used to identify family subtypes. A family subtype is a relatively homogeneous group of families with similar symptom profiles in the relatives in these families. Next, we investigated in 616 schizophrenia patients whether family subtype was associated with symptom profiles, IQ, cannabis dependence/abuse, or age of onset of psychosis.</p< <p<Results</p< <p<Based on the data of relatives, we identified two different family types: “healthy” and “at risk for psychiatric disorder”. Patients from at risk families obtained higher positive scores compared to patients from healthy families (Wald(1) = 6.6293, p = 0.010). No significant differences were found in any of the remaining variables.</p< <p<Conclusions</p< <p<Our findings confirm the existence of high-risk families and although we did not establish an etiological basis for the distinction between family types, genetic studies might reveal whether family subtype is associated with genetic heterogeneity.</p< Family subtype Familial loading Multiplex Sporadic Phenotypic heterogeneity Schizophrenia Controls Factor analysis Latent class analysis Mixed model latent class analysis Psychiatry Boks Marco PM verfasserin aut Vermunt Jeroen K verfasserin aut In BMC Psychiatry BMC, 2003 12(2012), 1, p 71 (DE-627)331018799 (DE-600)2050438-X 1471244X nnns volume:12 year:2012 number:1, p 71 https://doi.org/10.1186/1471-244X-12-71 kostenfrei https://doaj.org/article/3ed39ee87f044ec1ac34661b8ad8dd4f kostenfrei http://www.biomedcentral.com/1471-244X/12/71 kostenfrei https://doaj.org/toc/1471-244X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2012 1, p 71
language	English
source	In BMC Psychiatry 12(2012), 1, p 71 volume:12 year:2012 number:1, p 71
sourceStr	In BMC Psychiatry 12(2012), 1, p 71 volume:12 year:2012 number:1, p 71
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Family subtype Familial loading Multiplex Sporadic Phenotypic heterogeneity Schizophrenia Controls Factor analysis Latent class analysis Mixed model latent class analysis Psychiatry
isfreeaccess_bool	true
container_title	BMC Psychiatry
authorswithroles_txt_mv	Derks Eske M @@aut@@ Boks Marco PM @@aut@@ Vermunt Jeroen K @@aut@@
publishDateDaySort_date	2012-01-01T00:00:00Z
hierarchy_top_id	331018799
id	DOAJ064992632
language_de	englisch
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callnumber-first	R - Medicine
author	Derks Eske M
spellingShingle	Derks Eske M misc RC435-571 misc Family subtype misc Familial loading misc Multiplex misc Sporadic misc Phenotypic heterogeneity misc Schizophrenia misc Controls misc Factor analysis misc Latent class analysis misc Mixed model latent class analysis misc Psychiatry The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives
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topic_title	RC435-571 The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives Family subtype Familial loading Multiplex Sporadic Phenotypic heterogeneity Schizophrenia Controls Factor analysis Latent class analysis Mixed model latent class analysis
topic	misc RC435-571 misc Family subtype misc Familial loading misc Multiplex misc Sporadic misc Phenotypic heterogeneity misc Schizophrenia misc Controls misc Factor analysis misc Latent class analysis misc Mixed model latent class analysis misc Psychiatry
topic_unstemmed	misc RC435-571 misc Family subtype misc Familial loading misc Multiplex misc Sporadic misc Phenotypic heterogeneity misc Schizophrenia misc Controls misc Factor analysis misc Latent class analysis misc Mixed model latent class analysis misc Psychiatry
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title	The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives
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title_full	The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives
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title_sort	identification of family subtype based on the assessment of subclinical levels of psychosis in relatives
callnumber	RC435-571
title_auth	The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives
abstract	<p<Abstract</p< <p<Background</p< <p<Schizophrenia is a complex psychiatric disorder characterized by high phenotypic heterogeneity. Previous studies have distinguished between familial and sporadic forms of schizophrenia and have suggested clinical differentiation between patients and relatives from sporadic and multiplex families. We will introduce a more refined method to distinguish between family subtypes based on psychosis dimension profiles in the relatives of schizophrenia patients.</p< <p<Methods</p< <p<Positive, negative, disorganization, mania, and depression scores were assessed in 1,392 relatives. Mixed Model Latent Class Analysis was used to identify family subtypes. A family subtype is a relatively homogeneous group of families with similar symptom profiles in the relatives in these families. Next, we investigated in 616 schizophrenia patients whether family subtype was associated with symptom profiles, IQ, cannabis dependence/abuse, or age of onset of psychosis.</p< <p<Results</p< <p<Based on the data of relatives, we identified two different family types: “healthy” and “at risk for psychiatric disorder”. Patients from at risk families obtained higher positive scores compared to patients from healthy families (Wald(1) = 6.6293, p = 0.010). No significant differences were found in any of the remaining variables.</p< <p<Conclusions</p< <p<Our findings confirm the existence of high-risk families and although we did not establish an etiological basis for the distinction between family types, genetic studies might reveal whether family subtype is associated with genetic heterogeneity.</p<
abstractGer	<p<Abstract</p< <p<Background</p< <p<Schizophrenia is a complex psychiatric disorder characterized by high phenotypic heterogeneity. Previous studies have distinguished between familial and sporadic forms of schizophrenia and have suggested clinical differentiation between patients and relatives from sporadic and multiplex families. We will introduce a more refined method to distinguish between family subtypes based on psychosis dimension profiles in the relatives of schizophrenia patients.</p< <p<Methods</p< <p<Positive, negative, disorganization, mania, and depression scores were assessed in 1,392 relatives. Mixed Model Latent Class Analysis was used to identify family subtypes. A family subtype is a relatively homogeneous group of families with similar symptom profiles in the relatives in these families. Next, we investigated in 616 schizophrenia patients whether family subtype was associated with symptom profiles, IQ, cannabis dependence/abuse, or age of onset of psychosis.</p< <p<Results</p< <p<Based on the data of relatives, we identified two different family types: “healthy” and “at risk for psychiatric disorder”. Patients from at risk families obtained higher positive scores compared to patients from healthy families (Wald(1) = 6.6293, p = 0.010). No significant differences were found in any of the remaining variables.</p< <p<Conclusions</p< <p<Our findings confirm the existence of high-risk families and although we did not establish an etiological basis for the distinction between family types, genetic studies might reveal whether family subtype is associated with genetic heterogeneity.</p<
abstract_unstemmed	<p<Abstract</p< <p<Background</p< <p<Schizophrenia is a complex psychiatric disorder characterized by high phenotypic heterogeneity. Previous studies have distinguished between familial and sporadic forms of schizophrenia and have suggested clinical differentiation between patients and relatives from sporadic and multiplex families. We will introduce a more refined method to distinguish between family subtypes based on psychosis dimension profiles in the relatives of schizophrenia patients.</p< <p<Methods</p< <p<Positive, negative, disorganization, mania, and depression scores were assessed in 1,392 relatives. Mixed Model Latent Class Analysis was used to identify family subtypes. A family subtype is a relatively homogeneous group of families with similar symptom profiles in the relatives in these families. Next, we investigated in 616 schizophrenia patients whether family subtype was associated with symptom profiles, IQ, cannabis dependence/abuse, or age of onset of psychosis.</p< <p<Results</p< <p<Based on the data of relatives, we identified two different family types: “healthy” and “at risk for psychiatric disorder”. Patients from at risk families obtained higher positive scores compared to patients from healthy families (Wald(1) = 6.6293, p = 0.010). No significant differences were found in any of the remaining variables.</p< <p<Conclusions</p< <p<Our findings confirm the existence of high-risk families and although we did not establish an etiological basis for the distinction between family types, genetic studies might reveal whether family subtype is associated with genetic heterogeneity.</p<
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The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives

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