Abstract
Purpose
To investigate relationships between distinct schizotypy risk profiles in childhood and the full spectrum of parental mental disorders.
Methods
Participants were 22,137 children drawn from the New South Wales Child Development Study, for whom profiles of risk for schizophrenia-spectrum disorders in middle childhood (age ~ 11 years) were derived in a previous study. A series of multinomial logistic regression analyses examined the likelihood of child membership in one of three schizotypy profiles (true schizotypy, introverted schizotypy, and affective schizotypy) relative to the children showing no risk, according to maternal and paternal diagnoses of seven types of mental disorders.
Results
All types of parental mental disorders were associated with membership in all childhood schizotypy profiles. Children in the true schizotypy group were more than twice as likely as children in the no risk group to have a parent with any type of mental disorder (unadjusted odds ratio [OR] = 2.27, 95% confidence intervals [CI] = 2.01–2.56); those in the affective (OR = 1.54, 95% CI = 1.42–1.67) and introverted schizotypy profiles (OR = 1.39, 95% CI = 1.29–1.51) were also more likely to have been exposed to any parental mental disorder, relative to children showing no risk.
Conclusion
Childhood schizotypy risk profiles appear not to be related specifically to familial liability for schizophrenia-spectrum disorders; this is consistent with a model where liability for psychopathology is largely general rather than specific to particular diagnostic categories.
Similar content being viewed by others
Introduction
Schizotypy refers to a set of observable behavioural, cognitive, and personality characteristics that reflect liability for schizophrenia [1, 2]. The concept of schizotypy developed from observations that healthy relatives of individuals with psychosis displayed traits that were qualitatively similar to symptoms of schizophrenia [3]. This led to the hypothesis that the underlying aetiology for schizophrenia could result in a range of phenotypes, from schizotypy through to schizophrenia, and that only a minority of those with this underlying liability would go on to develop schizophrenia [1,2,3]. More recently, researchers have focussed on understanding subthreshold, symptom-like experiences of psychosis (e.g. psychotic-like experiences [PLEs]) as part of a spectrum of liability for psychosis and schizophrenia [4, 5]. While PLEs represent one aspect of liability for psychosis (reflected in reality distortion and other unusual experiences), schizotypy is a multifaceted construct, with ‘positive’ features (that overlap with PLEs), alongside ‘negative’ and cognitive features [6], reflecting the continuum of experience from subclinical symptomatology through to mental disorder [4], providing a developmental framework for understanding schizophrenia risk throughout the lifespan [7, 8].
The strongest known predictor for schizophrenia-spectrum disorders is having an affected first degree biological relative [9]. Individuals with a parent with schizophrenia have an eightfold increased risk of developing schizophrenia, compared to healthy controls [10]. Unaffected relatives of people with schizophrenia also have higher scores on measures of schizotypy [11,12,13,14]. Further, parental schizophrenia-spectrum disorders are associated with early childhood social-emotional dysfunction in offspring [15,16,17,18], indicating that familial liability for schizophrenia may be expressed as an observable phenotype throughout development.
While the relationship of schizotypy to familial schizophrenia-spectrum disorders has been well established, there has been limited research examining schizotypy among offspring of parents with mental disorder diagnoses other than schizophrenia. Use of population registers and/or familial high-risk studies have indicated that children of parents with mental disorder are at increased risk of a broad range of psychopathology, not limited to the specific type of disorder that their parent is diagnosed with [19,20,21]. Further, parental mental disorders are related not just to diagnosed mental disorder, but also to a range of early childhood vulnerability or liability to psychopathology in offspring [22]. These epidemiological findings are supported by evidence that a substantial proportion of genetic factors associated with mental disorders are shared between disorders [23,24,25], and that exposure to the same type of environmental risk factors (e.g. maltreatment, urbanicity, prenatal complications) are associated with increased risk of many different mental disorders [26, 27]. Intergenerational transmission of mental disorders (through genetic and environmental factors) is therefore likely to be transdiagnostic.
Only a few recent studies have explored the relationship of subthreshold psychosis symptoms with familial liability outside the schizophrenia-spectrum. One familial high-risk study found that offspring of parents with any severe mental illness (schizophrenia, bipolar disorder or major depressive disorders) were more likely than controls (i.e. children of parents with no disorder) to experience disturbances in thought, perception, and other mental processes associated with psychosis, and that likelihood did not differ across disorder classifications [28]. Offspring of parents with schizophrenia and bipolar disorder were also found to be at an increased risk of “severe” PLEs (as rated by a health professional) compared to controls [29]. Further, in the general population, delusion-like experiences (a subset of PLEs) among offspring have been associated with a range of parental mental disorders [depression, anxiety, schizophrenia, bipolar, and substance use disorders; 30]. These findings suggest that subthreshold psychosis symptoms among offspring are not exclusively related to parental schizophrenia-spectrum disorders. However, most of this research has focussed on a single (i.e. reality distortion) facet of schizotypy, and potential relationships with other parental disorders (e.g. child-onset disorders and personality disorders) have not yet been investigated.
The different components of schizotypy may not be uniformly related to familial liability for mental disorder. Previous studies have confirmed the existence of cognitive-perceptual, interpersonal, and disorganised dimensions of schizotypy [6]. However, there is little consensus on which of these features, or their particular combinations, are most strongly related to familial liability for schizophrenia-spectrum disorders [31]. A review of eight studies found that the interpersonal features of schizotypy had strong associations with familial schizophrenia, while cognitive-perceptual features had weak associations; results for disorganised features were mixed, with some studies finding strong effects and others weak effects [32]. One explanation for these differences in the relationships between dimensions of schizotypy and familial risk of schizophrenia (or other mental disorders) is that there may be subgroups of children showing different patterns of schizotypy that have distinct pathological pathways [2, 33]. That is, the association with parental history of mental disorders may not be with any individual schizotypal dimension in the population, but rather may be associated with the co-occurrence or pattern of schizotypal features within an individual offspring [34].
Person-centred approaches to the study of childhood risk for psychosis (and other mental disorders) can be used to identify patterns of traits within individuals. The aim of the present study was to investigate relationships of distinct (person-centred) schizotypy risk profiles in childhood with the full spectrum of parental mental health diagnoses, using data from the New South Wales-Child Development Study (NSW-CDS). Hypotheses were that (1) offspring classed in any schizotypal (schizophrenia-spectrum risk) profile would be more likely to have a parent with a diagnosed mental disorder, compared to those showing no such risk profile; and (2) all types of parental mental disorder would be associated with schizotypy group membership among offspring, but the strongest relationship would be with parental diagnosis of schizophrenia-spectrum disorder.
Methods
Study setting and record linkage
Data were drawn from Wave 2 of the New South Wales Child Developmental Study (NSW-CDS; http://nsw-cds.com.au/), an Australian intergenerational, longitudinal, population-based cohort study that uses record linkage to combine routinely collected administrative record data from multiple agencies with cross-sectional surveys [35]. In 2016, Wave 2 linkage was conducted for 91,635 children and their parents [36]. Record linkage was conducted by the NSW Centre for Health Record Linkage (CHeReL; http://www.cherel.org.au/) using probabilistic record linkage methods across a set of identifiers, with an estimated false positive linkage rate of < 0.5% [36]. Ethical approval was obtained from the NSW Population and Health Services Research Ethics Committee (HREC/15/CIPHS/21).
The Wave 2 linkage included 27,792 children who completed the Middle Childhood Survey (MCS), a self-report assessment of psychosocial and behavioural functioning administered to children in their final year of primary school in 2015 [37]. The MCS was administered in 829 NSW schools (35% of eligible schools) and was completed by 31.4% of year 6 children enrolled in NSW at the time.
Participants
Participants were 22,137 children from the NSW-CDS cohort with available data on the MCS and linked maternal records from the NSW Ministry of Health (for years 2000–2016); parent–child data linkage was possible for children with births registered in NSW between 2000 and 2006. Of these children, 21,476 had linked data for both mothers and fathers, and 661 for their mother only. The mean age of children at the time of the MCS was 11.9 years (SD = 0.37 years).
Measures
Schizotypy
Three putative profiles of schizotypy were identified via latent profile analyses of 59 items from the MCS (see [34] and Supplementary Materials). The profiles were characterised by (1) high levels of cognitive disorganisation, impulsive non-conformity, introversion, and self-other disturbance, intermediate levels of anxiety/depression, and low levels of unusual experiences, labelled ‘true schizotypy’ (representing 5.9% of the sample), (2) high levels of unusual experiences and anxiety/depression, labelled ‘affective schizotypy’ (20.2%), (3) high introversion, intermediate levels of cognitive disorganisation, impulsive non-conformity, self-other disturbance, but no unusual experiences or anxiety/depression, labelled ‘introverted schizotypy’ (19.2%), and (4) the largest group of children showing no signs of schizotypy, labelled ‘no risk’ (54.9%).
Parental mental disorder
Mental disorder diagnoses for mothers and fathers of the child cohort were derived from the NSW Ministry of Health’s Mental Health Ambulatory (for years 2000–2016), Admitted Patient (years 2000–2016), and Emergency Department (years 2000–2016) data collections. Specific types of mental disorder, recorded as primary or additional diagnoses, were defined by International Classification of Disease, revision 10, Australian Modification codes (ICD-10-AM; see Supplementary Materials). ICD-10-AM codes (or Systemized Nomenclature of Medicine [SNOMED] codes converted to ICD-10-AM codes) for any emergency department visit, admission to hospital or episode of ambulatory (i.e. community or outpatient) service contact up until 31 December 2016 were categorised into seven broad diagnostic categories (noting that an individual could be categorised into more than one category over their life course):
-
1.
Schizophrenia-spectrum disorders (schizophrenia, schizoaffective disorder, other non-affective psychoses).
-
2.
Affective psychotic disorders (bipolar disorders, depressive psychosis, postnatal affective psychosis, other affective psychoses).
-
3.
Common mental disorders (depressive disorders, major depressive disorders, anxiety/neurotic disorders).
-
4.
Personality disorders (cluster A, cluster B, cluster C, other/unspecified).
-
5.
Substance abuse (intoxication, substance use disorders).
-
6.
Other adult-onset disorders (organic disorders, eating disorders, sleep disorders, disorders not otherwise classified or not yet allocated).
-
7.
Other childhood-onset disorders (hyperkinetic disorders, conduct disorders, other childhood emotional disorders).
As well as these seven types of mental disorder diagnoses, we derived a global index of ‘any parental mental disorder’ (not specific to any category) evident among either parent (i.e. at least one parent) as well as indicators of ‘any mental disorder’ for mothers and fathers separately.
Covariates
Three socio-demographic factors (child’s sex, Aboriginal and Torres Strait Islander [Indigenous] background, and socio-economic disadvantage) were considered potential confounders of the relationship between parental mental disorder and childhood schizotypy and were included as covariates in adjusted models. Each child’s sex was determined from responses on the MCS. A binary indicator of Indigenous background was determined if either the child or their parent(s) were designated as of Aboriginal and Torres Strait Islander background in any available record in the NSW-CDS collection [36]. Socio-economic disadvantage was measured using the 2011 Socio-economic Indexes for Areas, Index for Relative Socio-economic Disadvantage (SEIFA IRSD) developed by the Australian Bureau of Statistics [38] and based on the child’s home postcode collected in the MCS. A binary indicator of socio-economic disadvantage was calculated, with membership in the bottom quintile of the SEIFA IRSD considered ‘disadvantaged’.
Analysis
A series of unadjusted and adjusted multinomial regression analyses were used to estimate associations between parental mental disorder diagnosis and offspring membership in one of the three schizotypy profiles, relative to the children showing no schizotypy (i.e. no risk for schizophrenia-spectrum disorders). Analyses were conducted first for “any parental mental disorder diagnosis” (i.e. at least one parent, mother or father, with any type of diagnosis), then for (any) maternal diagnoses and paternal diagnoses, separately. An indicator of both parents (i.e. mother and father) having received any type of psychiatric diagnosis was also investigated. Then, analyses were conducted using the seven broad disorder categories described above, first for any parent, then for maternal mental disorder diagnoses, and last for paternal mental disorder diagnoses. Analyses resulted in odds ratios (ORs) with 95% confidence intervals (CIs) as measures of effect size, with ORs of 1.00–1.49 interpreted as small, 1.50–2.49 as medium, and 2.50 or more as large [39]. Where appropriate, associations were compared in terms of the size of point estimates, and whether 95% confidence intervals were non-overlapping as a means of indicating statistically significant differences in the associations between schizotypy group membership and parental mental disorder diagnoses [40].
Results
Descriptive statistics for the sample are presented in Table 1. Of the 22,137 children in the sample, 23.5% had a parent who had received a psychiatric diagnosis. Common mental disorders were the most prevalent, with 16.2% of children having an affected parent; 2.1% of children had a parent with a schizophrenia-spectrum disorder diagnosis; and 1.8% of children had a parent with an affective psychotic disorder diagnosis. The distribution of parental mental disorders according to child membership in one of the three schizotypy risk groups (as well as children showing no risk) is presented in Table 2.
Association between schizotypy profiles and parental mental disorder
Any mental disorder diagnosis
Children exposed to any parental mental disorder (in at least one parent) were at greater odds of membership in each of the three schizotypy risk groups, compared to the no risk group, in both unadjusted (Table 3) and adjusted models (Table 4). Children with a parent with any mental disorder diagnosis had the highest odds of being in the true schizotypy group, followed by slightly smaller, but increased odds of being in the introverted schizotypy or affective schizotypy groups compared to the no risk group. Associations for any maternal or paternal mental disorder diagnosis were examined separately; the odds of schizotypy group membership were generally not substantially different for offspring of affected mothers compared to offspring of affected fathers (i.e. point estimates were similar in size and confidence intervals overlapped), with the exception of the affective schizotypy group which was more strongly associated with paternal (than maternal) affective psychoses and common mental disorders in both unadjusted and adjusted analyses, and with paternal personality disorders in adjusted analyses only. Children who had a history of both parents being diagnosed with a mental disorder had the highest odds of being in any of the schizotypy groups (compared to just one parent diagnosed), with medium sized associations with the introverted schizotypy and affective schizotypy groups, and large associations with the true schizotypy group.
Broad diagnostic categories
All seven categories of parental mental disorder diagnoses were associated with increased odds of offspring membership in each of the three schizotypy risk groups, in both unadjusted and adjusted analyses. For every category of mental disorder, the largest odds were for membership in the true schizotypy group (with medium to large effect sizes), relative to the odds ratios for membership in the introverted and affective schizotypy groups (small to medium sized effects). In unadjusted analyses, associations were generally in the small to medium sized range for most types of parental mental disorder diagnosis with the exception of personality disorders, substance use disorders and other child-onset disorders, which had large effect sizes in relation to child membership in the true schizotypy group. As for the analyses of the ‘any parental mental disorder’ index, there were not substantial differences in size of associations between maternal and paternal mental disorders when analyses were conducted separately. When analyses were adjusted for child sex, Indigenous background, and socio-economic disadvantage, the size of associations attenuated slightly, but most remained significant. Exceptions were the associations between any parental diagnosis of schizophrenia-spectrum disorder and offspring affective schizotypy, and any parental diagnosis of affective psychotic disorder or child-onset disorder with offspring introverted schizotypy, which were no longer significant after adjustment for demographic indicators.
Discussion
In a large Australian population-based cohort, children with at least one parent diagnosed with a mental disorder were more likely to self-report particular combinations of cognitive, behavioural and unusual perceptual experiences that placed them in one of three schizotypal risk profiles at age 11 years, relative to children of parents without a history of mental disorder diagnosis. There was some evidence of differential relationships between familial liability to mental disorder and the three distinct subgroups of schizotypy, with parental mental illness being more strongly associated with membership of the true schizotypy group, relative to the likelihood of being classed in the introverted schizotypy or affective schizotypy groups. However, no particular diagnostic category of parental mental disorder was specifically associated with any subtype of schizotypy in offspring.
Children of parents with mental disorder diagnoses were two- to threefold more likely to be classed in the true schizotypy group compared to children of unaffected parents, while children with affected parents had only a small increase in odds of being classified into either the introverted or affective schizotypy groups. These findings are consistent with previous research indicating that the negative (e.g. interpersonal) features of schizotypy are more strongly related to familial liability for schizophrenia-spectrum disorders than positive (i.e. reality distortion) features [32], given that the true schizotypy group was distinguished by a pattern of high cognitive disorganisation, impulsive non-conformity, introversion, and self-other disturbance, while the affective schizotypy group was characterised by high unusual experiences and affective symptoms.
The association between parental mental disorder diagnosis and offspring schizotypy was consistent across a broad range of parental mental disorder diagnoses, including psychotic, affective, personality, and substance use disorders, indicating that offspring schizotypy was not specifically related to any one parental mental disorder diagnostic category. This is consistent with previous findings suggesting that intergenerational transmission of mental illness is generally non-specific [19,20,21, 41] and that specific parental mental disorder are associated not just with offspring mental disorder diagnosis, but also a broad spectrum of childhood vulnerability or liability to psychopathology [22], suggesting intergenerational transmission of mental illness does not follow systems of diagnostic categorisation. Interestingly, children of parents with personality disorders were most likely to be classified in any of the schizotypy groups, followed by children of parents with substance use disorders (with medium to large sized associations). While the personality disorder group did include cluster A disorders (i.e. schizotypal personality disorder, schizoid personality disorder, and paranoid personality disorder), only a very small number of individuals in the population had received these diagnoses (n = 15), so it is unlikely that these specific personality disorders were driving the relationship with offspring schizotypy.
When analyses were conducted separately for maternal and paternal mental disorders, there were largely no differences in the strength of relationships between parental mental disorder diagnosis and offspring schizotypy. The exception was that the affective schizotypy group was more strongly associated with several paternal mental disorders (affective psychoses, common mental disorders, and personality disorders) than the equivalent maternal disorders. As girls are overrepresented in the affective schizotypy group, this may be consistent with previous research indicating opposite-sex-specific parent-of-origin effects in the intergenerational transmission of psychosis [42]. Children with both parents diagnosed with any mental disorder (not necessarily the same disorder), were at a higher risk of being classed in any of the three schizotypy groups, relative to the likelihood of offspring schizotypy among children with only one parent with a diagnosis. This is consistent with previous findings that having two parents with mental disorders is associated with greater risk of offspring psychopathology than having one affected parent [9, 19], and suggests a dose–response relationship between parental mental disorders and offspring schizotypy and that are not necessarily concordant.
Contrary to our hypotheses, children of parents with schizophrenia-spectrum disorders were not the most likely to be represented in the three schizotypy risk profiles, but in fact had amongst the lowest odds of membership in any of the schizotypal risk profiles. This adds to previous findings that PLEs in offspring are associated with parental mental disorders other than schizophrenia-spectrum disorders [28,29,30], by showing that this pattern occurs not just for children with high levels of PLEs or unusual experiences (i.e. the affective schizotypy group), but also for children with high levels negative and disorganised symptoms but without high levels of PLEs (i.e. the true and introverted schizotypy groups). While schizotypy has generally been assumed to represent liability for schizophrenia-spectrum disorders, there is limited research examining the relationship of schizotypy with other non-psychotic mental health outcomes, and it is possible that schizotypy represents liability for a broader range of expressions of mental illness. In addition to evidence for the transdiagnostic intergenerational transmission of mental disorders [19,20,21, 41], multiple mental disorder diagnoses within an individual are common, and can co-occur both simultaneously and across the lifespan [43, 44]. It is therefore likely that liability for psychopathology is largely general rather than specific to certain diagnostic categories [23, 45]. Notably, schizotypy was measured in middle childhood (age ~ 11 years) in this study and may therefore be distinct from schizotypal characteristics proximal to psychosis onset that may be more specific predictors of schizophrenia-spectrum disorders.
Findings that any type of parental mental disorder diagnosis is related to offspring schizotypy are consistent with a model of transdiagnostic intergenerational transmission of mental disorder that likely operates via both genetic and environmental factors [45, 46]. Without access to genetic data for this population, we were unable to determine the extent to which genetic versus environmental factors (or an interaction or correlation between the two) account for the relationships between parental mental disorders and offspring schizotypy reported here. Potential genetic effects likely operate both directly and indirectly via environmental factors; that is, genetically influenced traits of the parents (including those that contribute to parental mental disorders) would no doubt influence the environment that offspring are raised in, which may increase the risk of schizotypy [47]. Child maltreatment has been shown to mediate a significant proportion of the association between an individual’s schizophrenia polygenic risk score and PLE’s in young adults [48]. Other environmental factors that also potentially interact with genetic vulnerability in this way include prenatal and neighbourhood factors that have also been associated with schizotypy [49]. It is thus likely that intergenerational transmission of schizotypy results from the complex interplay of multiple genetic factors and multiple environmental factors [26].
Strengths of the study include the large sample size, which allowed us to examine a broad range of parental mental disorders including relatively rare disorders (e.g. schizophrenia-spectrum disorders, personality disorders), and avoided the sampling bias associated with a high-risk sampling approach. Further, the person-centred analysis approach (i.e. latent profile analysis) allowed us to delineate groups of people with distinct patterns of schizotypal traits, rather than examining individual dimensions of schizotypy in a way that ignores population or sample heterogeneity. However, the main limitation of this study is that parental mental health diagnoses were derived from health (outpatient, inpatient, and emergency) department records only, such that parents who received care from private mental health or primary care practitioners, or who were unable to access mental health services would be classified as unexposed. Our findings may therefore underestimate the strength of associations. Further, any mental disorder diagnoses recorded before the period for which health data were available (approximately four years prior to the children’s birth) would not have been captured in the available records, potentially leading to the misclassification of children as not exposed to parental mental disorders. Second, data on presentations for parent mental diagnoses could have been recorded up to a year after offspring schizotypy was measured. These data were included since only the dates of diagnosis (and not the date of symptom onset) were available. It was therefore assumed that these records would largely relate to mental disorders present before offspring schizotypy was measured. Although the reverse association (i.e. offspring schizotypy causing parental mental disorder) is unlikely, this cannot be ruled out. Finally, schizotypy was measured by self-report questionnaire, which is typically less effective than clinical interview at distinguishing relatives of people with schizophrenia from controls [50]. Children may have limited insight into their own symptoms, and limited ability to assess whether symptoms are culturally normative [51]. However, self-report is valuable in that it can measure psychological content that may not be directly observable.
Clarifying the familial link between a broad spectrum of parental mental disorders and offspring schizotypy in childhood is important for understanding intergenerational pathways to adult mental disorder. The present results indicate that schizotypy in middle childhood is not specific to offspring of parents with schizophrenia-spectrum disorders, but that schizotypy is more common among offspring of parents with any type of mental disorder diagnosis. Evidence of differential relationships of familial liability to mental disorder among the distinct schizotypy risk profiles in the child population further suggests that there may be graded liability for mental health risk among the offspring of parents with mental disorders. Future research of childhood schizotypy as a potential mediator of familial liability to severe mental illness is warranted in genetically informed, intergenerational population samples.
Data availability statement
The linked administrative data used in this study is owned by the Australian Government and cannot be made available to third parties by the authors.
References
Meehl PE (1962) Schizotaxia, schizotypy, schizophrenia. Am Psychol 17(12):827
Meehl PE (1990) Toward an integrated theory of schizotaxia, schizotypy, and schizophrenia. J Pers Disord 4(1):1–99
Rado S (1953) Dynamics and classification of disordered behavior. Am J Psychiatry 110(6):406–416
Barrantes-Vidal N, Grant P, Kwapil TR (2015) The role of schizotypy in the study of the etiology of schizophrenia spectrum disorders. Schizophr Bull 41(2):S408–S416. https://doi.org/10.1093/schbul/sbu191
Linscott RJ, van Os J (2013) An updated and conservative systematic review and meta-analysis of epidemiological evidence on psychotic experiences in children and adults: on the pathway from proneness to persistence to dimensional expression across mental disorders. Psychol Med 43(6):1133–1149. https://doi.org/10.1017/S0033291712001626
Raine A, Reynolds C, Lencz T, Scerbo A, Triphon N, Kim D (1994) Cognitive-perceptual, interpersonal, and disorganized features of schizotypal personality. Schizophr Bull 20(1):191–201. https://doi.org/10.1093/schbul/20.1.191
Debbané M, Barrantes-Vidal N (2015) Schizotypy From a Developmental Perspective. Schizophrenia Bull 41(2):S386–S395. https://doi.org/10.1093/schbul/sbu175
Debbané M, Eliez S, Badoud D, Conus P, Flückiger R, Schultze-Lutter F (2015) Developing psychosis and its risk states through the lens of schizotypy. Schizophr Bull 41(2):S396–S407. https://doi.org/10.1093/schbul/sbu176
Gottesman II, Laursen TM, Bertelsen A, Mortensen PB (2010) Severe mental disorders in offspring with 2 psychiatrically ill parents. Arch Gen Psychiatry 67(3):252–257. https://doi.org/10.1001/archgenpsychiatry.2010.1
Lo LE, Kaur R, Meiser B, Green M (2020) Risk of schizophrenia in relatives of individuals affected by schizophrenia: a meta-analysis. Psychiatry Res 286:112852. https://doi.org/10.1016/j.psychres.2020.112852
Appels MCM, Sitskoorn MM, Vollema MG, Kahn RS (2004) Elevated levels of schizotypal features in parents of patients with a family history of schizophrenia spectrum disorders. Schizophr Bull 30(4):781–790. https://doi.org/10.1093/oxfordjournals.schbul.a007131
Calkins ME, Curtis CE, Grove WM, Iacono WG (2004) Multiple dimensions of schizotypy in first degree biological relatives of schizophrenia patients. Schizophr Bull 30(2):317–325. https://doi.org/10.1093/oxfordjournals.schbul.a007081
Fanous A, Gardner C, Walsh D, Kendler KS (2001) Relationship between positive and negative symptoms of schizophrenia and schizotypal symptoms in nonpsychotic relatives. Arch Gen Psychiatry 58(7):669–673. https://doi.org/10.1001/archpsyc.58.7.669
Kendler KS, McGuire M, Gruenberg AM, Walsh D (1995) Schizotypal symptoms and signs in the roscommon family study: their factor structure and familial relationship with psychotic and affective disorders. Arch Gen Psychiatry 52(4):296–303. https://doi.org/10.1001/archpsyc.1995.03950160046009
Henriksson KM, McNeil TF (2004) Health and development in the first 4 years of life in offspring of women with schizophrenia and affective psychoses: Well-Baby Clinic information. Schizophr Res 70(1):39–48. https://doi.org/10.1016/j.schres.2003.11.003
Matheson SL, Kariuki M, Green MJ, Dean K, Harris F, Tzoumakis S, Tarren-Sweeney M, Brinkman S, Chilvers M, Sprague T, Carr VJ, Laurens KR (2017) Effects of maltreatment and parental schizophrenia spectrum disorders on early childhood social-emotional functioning: a population record linkage study. Epidemiol Psychiatr Sci 26(6):612–623. https://doi.org/10.1017/S204579601600055X
Niemi LT, Suvisaari JM, Tuulio-Henriksson A, Lönnqvist JK (2003) Childhood developmental abnormalities in schizophrenia: evidence from high-risk studies. Schizophr Res 60(2):239–258. https://doi.org/10.1016/S0920-9964(02)00234-7
Laurens KR, Luo L, Matheson SL, Carr VJ, Raudino A, Harris F, Green MJ (2015) Common or distinct pathways to psychosis? A systematic review of evidence from prospective studies for developmental risk factors and antecedents of the schizophrenia spectrum disorders and affective psychoses. BMC Psychiatry 15(1):205. https://doi.org/10.1186/s12888-015-0562-2
Dean K, Stevens H, Mortensen PB, Murray RM, Walsh E, Pedersen CB (2010) Full spectrum of psychiatric outcomes among offspring with parental history of mental disorder. Arch Gen Psychiatry 67(8):822–829. https://doi.org/10.1001/archgenpsychiatry.2010.86
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. Schizophr Bull 40(1):28–38. https://doi.org/10.1093/schbul/sbt114
van Santvoort F, Hosman CMH, Janssens JMAM, van Doesum KTM, Reupert A, van Loon LMA (2015) The impact of various parental mental disorders on children’s diagnoses: a systematic review. Clin Child Fam Psychol Rev 18(4):281–299. https://doi.org/10.1007/s10567-015-0191-9
Dean K, Green MJ, Laurens KR, Kariuki M, Tzoumakis S, Sprague T, Lenroot R, Carr VJ (2018) The impact of parental mental illness across the full diagnostic spectrum on externalising and internalising vulnerabilities in young offspring. Psychol Med 48(13):2257–2263. https://doi.org/10.1017/S0033291717003786
Caspi A, Houts RM, Belsky DW, Goldman-Mellor SJ, Harrington H, Israel S, Meier MH, Ramrakha S, Shalev I, Poulton R, Moffitt TE (2013) The p factor: one general psychopathology factor in the structure of psychiatric disorders? Clin Psychol Sci 2(2):119–137. https://doi.org/10.1177/2167702613497473
Cross-Disorder Group of the Psychiatric Genomics Consortium, Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, Mowry BJ, Thapar A, Goddard ME, Witte JS, Absher D, Agartz I, Akil H, Amin F, Andreassen OA, Anjorin A, Anney R, Anttila V, Arking DE, Asherson P, Azevedo MH, Backlund L, Badner JA, Bailey AJ, Banaschewski T, Barchas JD, Barnes MR, Barrett TB, Bass N, Battaglia A, Bauer M, Bayés M, Bellivier F, Bergen SE, Berrettini W, Betancur C, Bettecken T, Biederman J, Binder EB, Black DW, Blackwood DHR, Bloss CS, Boehnke M, Boomsma DI, Breen G, Breuer R, Bruggeman R, Cormican P, Buccola NG, Buitelaar JK, Bunney WE, Buxbaum JD, Byerley WF, Byrne EM, Caesar S, Cahn W, Cantor RM, Casas M, Chakravarti A, Chambert K, Choudhury K, Cichon S, Cloninger CR, Collier DA, Cook EH, Coon H, Cormand B, Corvin A, Coryell WH, Craig DW, Craig IW, Crosbie J, Cuccaro ML, Curtis D, Czamara D, Datta S, Dawson G, Day R, De Geus EJ, Degenhardt F, Djurovic S, Donohoe GJ, Doyle AE, Duan J, Dudbridge F, Duketis E, Ebstein RP, Edenberg HJ, Elia J, Ennis S, Etain B, Fanous A, Farmer AE, Ferrier IN, Flickinger M, Fombonne E, Foroud T, Frank J, Franke B, Fraser C, Freedman R, Freimer NB, Freitag CM, Friedl M, Frisén L, Gallagher L, Gejman PV, Georgieva L, Gershon ES, Geschwind DH, Giegling I, Gill M, Gordon SD, Gordon-Smith K, Green EK, Greenwood TA, Grice DE, Gross M, Grozeva D, Guan W, Gurling H, De Haan L, Haines JL, Hakonarson H, Hallmayer J, Hamilton SP, Hamshere ML, Hansen TF, Hartmann AM, Hautzinger M, Heath AC, Henders AK, Herms S, Hickie IB, Hipolito M, Hoefels S, Holmans PA, Holsboer F, Hoogendijk WJ, Hottenga J-J, Hultman CM, Hus V, Ingason A, Ising M, Jamain S, Jones EG, Jones I, Jones L, Tzeng J-Y, Kähler AK, Kahn RS, Kandaswamy R, Keller MC, Kennedy JL, Kenny E, Kent L, Kim Y, Kirov GK, Klauck SM, Klei L, Knowles JA, Kohli MA, Koller DL, Konte B, Korszun A, Krabbendam L, Krasucki R, Kuntsi J, Kwan P, Landén M, Långström N, Lathrop M, Lawrence J, Lawson WB, Leboyer M, Ledbetter DH, Lee PH, Lencz T, Lesch K-P, Levinson DF, Lewis CM, Li J, Lichtenstein P, Lieberman JA, Lin D-Y, Linszen DH, Liu C, Lohoff FW, Loo SK, Lord C, Lowe JK, Lucae S, MacIntyre DJ, Madden PAF, Maestrini E, Magnusson PKE, Mahon PB, Maier W, Malhotra AK, Mane SM, Martin CL, Martin NG, Mattheisen M, Matthews K, Mattingsdal M, McCarroll SA, McGhee KA, McGough JJ, McGrath PJ, McGuffin P, McInnis MG, McIntosh A, McKinney R, McLean AW, McMahon FJ, McMahon WM, McQuillin A, Medeiros H, Medland SE, Meier S, Melle I, Meng F, Meyer J, Middeldorp CM, Middleton L, Milanova V, Miranda A, Monaco AP, Montgomery GW, Moran JL, Moreno-De-Luca D, Morken G, Morris DW, Morrow EM, Moskvina V, Muglia P, Mühleisen TW, Muir WJ, Müller-Myhsok B, Murtha M, Myers RM, Myin-Germeys I, Neale MC, Nelson SF, Nievergelt CM, Nikolov I, Nimgaonkar V, Nolen WA, Nöthen MM, Nurnberger JI, Nwulia EA, Nyholt DR, O'Dushlaine C, Oades RD, Olincy A, Oliveira G, Olsen L, Ophoff RA, Osby U, Owen MJ, Palotie A, Parr JR, Paterson AD, Pato CN, Pato MT, Penninx BW, Pergadia ML, Pericak-Vance MA, Pickard BS, Pimm J, Piven J, Posthuma D, Potash JB, Poustka F, Propping P, Puri V, Quested DJ, Quinn EM, Ramos-Quiroga JA, Rasmussen HB, Raychaudhuri S, Rehnström K, Reif A, Ribasés M, Rice JP, Rietschel M, Roeder K, Roeyers H, Rossin L, Rothenberger A, Rouleau G, Ruderfer D, Rujescu D, Sanders AR, Sanders SJ, Santangelo SL, Sergeant JA, Schachar R, Schalling M, Schatzberg AF, Scheftner WA, Schellenberg GD, Scherer SW, Schork NJ, Schulze TG, Schumacher J, Schwarz M, Scolnick E, Scott LJ, Shi J, Shilling PD, Shyn SI, Silverman JM, Slager SL, Smalley SL, Smit JH, Smith EN, Sonuga-Barke EJS, St Clair D, State M, Steffens M, Steinhausen H-C, Strauss JS, Strohmaier J, Stroup TS, Sutcliffe JS, Szatmari P, Szelinger S, Thirumalai S, Thompson RC, Todorov AA, Tozzi F, Treutlein J, Uhr M, van den Oord EJCG, Van Grootheest G, Van Os J, Vicente AM, Vieland VJ, Vincent JB, Visscher PM, Walsh CA, Wassink TH, Watson SJ, Weissman MM, Werge T, Wienker TF, Wijsman EM, Willemsen G, Williams N, Willsey AJ, Witt SH, Xu W, Young AH, Yu TW, Zammit S, Zandi PP, Zhang P, Zitman FG, Zöllner S, Devlin B, Kelsoe JR, Sklar P, Daly MJ, O'Donovan MC, Craddock N, Sullivan PF, Smoller JW, Kendler KS, Wray NR, International Inflammatory Bowel Disease Genetics Consortium (2013) Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat Genet 45 (9):984–994. doi:https://doi.org/10.1038/ng.2711
Anttila V, Bulik-Sullivan B, Finucane HK, Walters RK, Bras J, Duncan L, Escott-Price V, Falcone GJ, Gormley P, Malik R, Patsopoulos NA, Ripke S, Wei Z, Yu D, Lee PH, Turley P, Grenier-Boley B, Chouraki V, Kamatani Y, Berr C, Letenneur L, Hannequin D, Amouyel P, Boland A, Deleuze J-F, Duron E, Vardarajan BN, Reitz C, Goate AM, Huentelman MJ, Kamboh MI, Larson EB, Rogaeva E, St George-Hyslop P, Hakonarson H, Kukull WA, Farrer LA, Barnes LL, Beach TG, Demirci FY, Head E, Hulette CM, Jicha GA, Kauwe JSK, Kaye JA, Leverenz JB, Levey AI, Lieberman AP, Pankratz VS, Poon WW, Quinn JF, Saykin AJ, Schneider LS, Smith AG, Sonnen JA, Stern RA, Van Deerlin VM, Van Eldik LJ, Harold D, Russo G, Rubinsztein DC, Bayer A, Tsolaki M, Proitsi P, Fox NC, Hampel H, Owen MJ, Mead S, Passmore P, Morgan K, Nöthen MM, Schott JM, Rossor M, Lupton MK, Hoffmann P, Kornhuber J, Lawlor B, McQuillin A, Al-Chalabi A, Bis JC, Ruiz A, Boada M, Seshadri S, Beiser A, Rice K, van der Lee SJ, De Jager PL, Geschwind DH, Riemenschneider M, Riedel-Heller S, Rotter JI, Ransmayr G, Hyman BT, Cruchaga C, Alegret M, Winsvold B, Palta P, Farh K-H, Cuenca-Leon E, Furlotte N, Kurth T, Ligthart L, Terwindt GM, Freilinger T, Ran C, Gordon SD, Borck G, Adams HHH, Lehtimäki T, Wedenoja J, Buring JE, Schürks M, Hrafnsdottir M, Hottenga J-J, Penninx B, Artto V, Kaunisto M, Vepsäläinen S, Martin NG, Montgomery GW, Kurki MI, Hämäläinen E, Huang H, Huang J, Sandor C, Webber C, Muller-Myhsok B, Schreiber S, Salomaa V, Loehrer E, Göbel H, Macaya A, Pozo-Rosich P, Hansen T, Werge T, Kaprio J, Metspalu A, Kubisch C, Ferrari MD, Belin AC, van den Maagdenberg AMJM, Zwart J-A, Boomsma D, Eriksson N, Olesen J, Chasman DI, Nyholt DR, Anney R, Avbersek A, Baum L, Berkovic S, Bradfield J, Buono RJ, Catarino CB, Cossette P, De Jonghe P, Depondt C, Dlugos D, Ferraro TN, French J, Hjalgrim H, Jamnadas-Khoda J, Kälviäinen R, Kunz WS, Lerche H, Leu C, Lindhout D, Lo W, Lowenstein D, McCormack M, Møller RS, Molloy A, Ng P-W, Oliver K, Privitera M, Radtke R, Ruppert A-K, Sander T, Schachter S, Schankin C, Scheffer I, Schoch S, Sisodiya SM, Smith P, Sperling M, Striano P, Surges R, Thomas GN, Visscher F, Whelan CD, Zara F, Heinzen EL, Marson A, Becker F, Stroink H, Zimprich F, Gasser T, Gibbs R, Heutink P, Martinez M, Morris HR, Sharma M, Ryten M, Mok KY, Pulit S, Bevan S, Holliday E, Attia J, Battey T, Boncoraglio G, Thijs V, Chen W-M, Mitchell B, Rothwell P, Sharma P, Sudlow C, Vicente A, Markus H, Kourkoulis C, Pera J, Raffeld M, Silliman S, Boraska Perica V, Thornton LM, Huckins LM, William Rayner N, Lewis CM, Gratacos M, Rybakowski F, Keski-Rahkonen A, Raevuori A, Hudson JI, Reichborn-Kjennerud T, Monteleone P, Karwautz A, Mannik K, Baker JH, O’Toole JK, Trace SE, Davis OSP, Helder SG, Ehrlich S, Herpertz-Dahlmann B, Danner UN, van Elburg AA, Clementi M, Forzan M, Docampo E, Lissowska J, Hauser J, Tortorella A, Maj M, Gonidakis F, Tziouvas K, Papezova H, Yilmaz Z, Wagner G, Cohen-Woods S, Herms S, Julià A, Rabionet R, Dick DM, Ripatti S, Andreassen OA, Espeseth T, Lundervold AJ, Steen VM, Pinto D, Scherer SW, Aschauer H, Schosser A, Alfredsson L, Padyukov L, Halmi KA, Mitchell J, Strober M, Bergen AW, Kaye W, Szatkiewicz JP, Cormand B, Ramos-Quiroga JA, Sánchez-Mora C, Ribasés M, Casas M, Hervas A, Arranz MJ, Haavik J, Zayats T, Johansson S, Williams N, Elia J, Dempfle A, Rothenberger A, Kuntsi J, Oades RD, Banaschewski T, Franke B, Buitelaar JK, Arias Vasquez A, Doyle AE, Reif A, Lesch K-P, Freitag C, Rivero O, Palmason H, Romanos M, Langley K, Rietschel M, Witt SH, Dalsgaard S, Børglum AD, Waldman I, Wilmot B, Molly N, Bau CHD, Crosbie J, Schachar R, Loo SK, McGough JJ, Grevet EH, Medland SE, Robinson E, Weiss LA, Bacchelli E, Bailey A, Bal V, Battaglia A, Betancur C, Bolton P, Cantor R, Celestino-Soper P, Dawson G, De Rubeis S, Duque F, Green A, Klauck SM, Leboyer M, Levitt P, Maestrini E, Mane S, De-Luca DM, Parr J, Regan R, Reichenberg A, Sandin S, Vorstman J, Wassink T, Wijsman E, Cook E, Santangelo S, Delorme R, Rogé B, Magalhaes T, Arking D, Schulze TG, Thompson RC, Strohmaier J, Matthews K, Melle I, Morris D, Blackwood D, McIntosh A, Bergen SE, Schalling M, Jamain S, Maaser A, Fischer SB, Reinbold CS, Fullerton JM, Grigoroiu-Serbanescu M, Guzman-Parra J, Mayoral F, Schofield PR, Cichon S, Mühleisen TW, Degenhardt F, Schumacher J, Bauer M, Mitchell PB, Gershon ES, Rice J, Potash JB, Zandi PP, Craddock N, Ferrier IN, Alda M, Rouleau GA, Turecki G, Ophoff R, Pato C, Anjorin A, Stahl E, Leber M, Czerski PM, Edenberg HJ, Cruceanu C, Jones IR, Posthuma D, Andlauer TFM, Forstner AJ, Streit F, Baune BT, Air T, Sinnamon G, Wray NR, MacIntyre DJ, Porteous D, Homuth G, Rivera M, Grove J, Middeldorp CM, Hickie I, Pergadia M, Mehta D, Smit JH, Jansen R, de Geus E, Dunn E, Li QS, Nauck M, Schoevers RA, Beekman ATF, Knowles JA, Viktorin A, Arnold P, Barr CL, Bedoya-Berrio G, Bienvenu OJ, Brentani H, Burton C, Camarena B, Cappi C, Cath D, Cavallini M, Cusi D, Darrow S, Denys D, Derks EM, Dietrich A, Fernandez T, Figee M, Freimer N, Gerber G, Grados M, Greenberg E, Hanna GL, Hartmann A, Hirschtritt ME, Hoekstra PJ, Huang A, Huyser C, Illmann C, Jenike M, Kuperman S, Leventhal B, Lochner C, Lyon GJ, Macciardi F, Madruga-Garrido M, Malaty IA, Maras A, McGrath L, Miguel EC, Mir P, Nestadt G, Nicolini H, Okun MS, Pakstis A, Paschou P, Piacentini J, Pittenger C, Plessen K, Ramensky V, Ramos EM, Reus V, Richter MA, Riddle MA, Robertson MM, Roessner V, Rosário M, Samuels JF, Sandor P, Stein DJ, Tsetsos F, Van Nieuwerburgh F, Weatherall S, Wendland JR, Wolanczyk T, Worbe Y, Zai G, Goes FS, McLaughlin N, Nestadt PS, Grabe H-J, Depienne C, Konkashbaev A, Lanzagorta N, Valencia-Duarte A, Bramon E, Buccola N, Cahn W, Cairns M, Chong SA, Cohen D, Crespo-Facorro B, Crowley J, Davidson M, DeLisi L, Dinan T, Donohoe G, Drapeau E, Duan J, Haan L, Hougaard D, Karachanak-Yankova S, Khrunin A, Klovins J, Kučinskas V, Lee Chee Keong J, Limborska S, Loughland C, Lönnqvist J, Maher B, Mattheisen M, McDonald C, Murphy KC, Murray R, Nenadic I, van Os J, Pantelis C, Pato M, Petryshen T, Quested D, Roussos P, Sanders AR, Schall U, Schwab SG, Sim K, So H-C, Stögmann E, Subramaniam M, Toncheva D, Waddington J, Walters J, Weiser M, Cheng W, Cloninger R, Curtis D, Gejman PV, Henskens F, Mattingsdal M, Oh S-Y, Scott R, Webb B, Breen G, Churchhouse C, Bulik CM, Daly M, Dichgans M, Faraone SV, Guerreiro R, Holmans P, Kendler KS, Koeleman B, Mathews CA, Price A, Scharf J, Sklar P, Williams J, Wood NW, Cotsapas C, Palotie A, Smoller JW, Sullivan P, Rosand J, Corvin A, Neale BM (2018) Analysis of shared heritability in common disorders of the brain. Science 360 (6395):8757. doi:https://doi.org/10.1126/science.aap8757
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
McMahon SD, Grant KE, Compas BE, Thurm AE, Ey S (2003) Stress and psychopathology in children and adolescents: is there evidence of specificity? J Child Psychol Psychiatry 44(1):107–133. https://doi.org/10.1111/1469-7610.00105
Zwicker A, MacKenzie LE, Drobinin V, Howes Vallis E, Patterson VC, Stephens M, Cumby J, Propper L, Abidi S, Bagnell A, Schultze-Lutter F, Pavlova B, Alda M, Uher R (2019) Basic symptoms in offspring of parents with mood and psychotic disorders. BJPsych Open 5(4):54. https://doi.org/10.1192/bjo.2019.40
Ellersgaard D, Gregersen M, Spang KS, Christiani C, Burton BK, Hemager N, Søndergaard A, Greve A, Gantriis D, Jepsen JRM, Mors O, Plessen KJ, Thorup AAE, Nordentoft M (2020) Psychotic experiences in seven-year-old children with familial high risk of schizophrenia or bipolar disorder in: The Danish High Risk and Resilience Study—VIA 7; A population-based cohort study. Schizophrenia Research. doi:https://doi.org/10.1016/j.schres.2020.11.045
Varghese D, Saha S, Scott JD, Chan RCK, McGrath JJ (2011) The association between family history of mental disorder and delusional-like experiences: a general population study. Am J Med Genet B Neuropsychiatr Genet 156(4):478–483. https://doi.org/10.1002/ajmg.b.31185
Grant P, Green MJ, Mason OJ (2018) Models of schizotypy: the importance of conceptual clarity. Schizophr Bull 44(2):S556–S563. https://doi.org/10.1093/schbul/sby012
Tarbox SI, Pogue-Geile MF (2011) A multivariate perspective on schizotypy and familial association with schizophrenia: a review. Clin Psychol Rev 31(7):1169–1182. https://doi.org/10.1016/j.cpr.2011.07.002
Raine A (2006) Schizotypal personality: neurodevelopmental and psychosocial trajectories. Annu Rev Clin Psychol 2(1):291–326. https://doi.org/10.1146/annurev.clinpsy.2.022305.095318
Green MJ, O’Hare K, Laurens KR, Tzoumakis S, Dean K, Badcock JC, Harris F, Linscott RJ, Carr VJ (2022) Developmental profiles of schizotypy in the general population: a record linkage study of Australian children aged 11–12 years. Br J Clin Psychol. https://doi.org/10.1111/bjc.12363
Carr VJ, Harris F, Raudino A, Luo L, Kariuki M, Liu E, Tzoumakis S, Smith M, Holbrook A, Bore M, Brinkman S, Lenroot R, Dix K, Dean K, Laurens KR, Green MJ (2016) New South Wales Child Development Study (NSW-CDS): an Australian multiagency, multigenerational, longitudinal record linkage study. BMJ Open 6(2):e009023. https://doi.org/10.1136/bmjopen-2015-009023
Green MJ, Harris F, Laurens KR, Kariuki M, Tzoumakis S, Dean K, Islam F, Rossen L, Whitten T, Smith M, Holbrook A, Bore M, Brinkman S, Chilvers M, Sprague T, Stevens R, Carr VJ (2018) Cohort profile: The New South Wales child development study (NSW-CDS)—wave 2 (child age 13 years). Int J Epidemiol 47(5):1396–1397k. https://doi.org/10.1093/ije/dyy115
Laurens KR, Tzoumakis S, Dean K, Brinkman SA, Bore M, Lenroot RK, Smith M, Holbrook A, Robinson KM, Stevens R, Harris F, Carr VJ, Green MJ (2017) The 2015 Middle Childhood Survey (MCS) of mental health and well-being at age 11 years in an Australian population cohort. BMJ Open 7(6):e016244. https://doi.org/10.1136/bmjopen-2017-016244
Pink B (2013) Socio-economic indexes for areas (SEIFA) 2011. Australian Bureau of Statistics, Canberra
Rosenthal JA (1996) Qualitative descriptors of strength of association and effect size. J Soc Serv Res 21(4):37–59. https://doi.org/10.1300/J079v21n04_02
Cumming G, Finch S (2005) Inference by eye: confidence intervals and how to read pictures of data. Am Psychol 60(2):170–180. https://doi.org/10.1037/0003-066X.60.2.170
Sandstrom A, Sahiti Q, Pavlova B, Uher R (2019) Offspring of parents with schizophrenia, bipolar disorder, and depression: a review of familial high-risk and molecular genetics studies. Psychiatr Genet. https://doi.org/10.1097/YPG.0000000000000240
Aylott A, Zwicker A, MacKenzie LE, Cumby J, Propper L, Abidi S, Bagnell A, Fisher HL, Pavlova B, Alda M, Uher R (2019) Like father like daughter: sex-specific parent-of-origin effects in the transmission of liability for psychotic symptoms to offspring. J Dev Orig Health Dis 10(1):100–107. https://doi.org/10.1017/S2040174418000612
Plana-Ripoll O, Pedersen CB, Holtz Y, Benros ME, Dalsgaard S, de Jonge P, Fan CC, Degenhardt L, Ganna A, Greve AN, Gunn J, Iburg KM, Kessing LV, Lee BK, Lim CCW, Mors O, Nordentoft M, Prior A, Roest AM, Saha S, Schork A, Scott JG, Scott KM, Stedman T, Sørensen HJ, Werge T, Whiteford HA, Laursen TM, Agerbo E, Kessler RC, Mortensen PB, McGrath JJ (2019) Exploring comorbidity within mental disorders among a Danish national population. JAMA Psychiat 76(3):259–270. https://doi.org/10.1001/jamapsychiatry.2018.3658
Caspi A, Houts RM, Ambler A, Danese A, Elliott ML, Hariri A, Harrington H, Hogan S, Poulton R, Ramrakha S, Rasmussen LJH, Reuben A, Richmond-Rakerd L, Sugden K, Wertz J, Williams BS, Moffitt TE (2020) Longitudinal assessment of mental health disorders and comorbidities across 4 decades among participants in the dunedin birth cohort study. JAMA Netw Open 3(4):e203221–e203221. https://doi.org/10.1001/jamanetworkopen.2020.3221
Caspi A, Moffitt TE (2018) All for one and one for all: mental disorders in one dimension. Am J Psychiatry 175(9):831–844. https://doi.org/10.1176/appi.ajp.2018.17121383
Selzam S, Coleman JRI, Caspi A, Moffitt TE, Plomin R (2018) A polygenic p factor for major psychiatric disorders. Transl Psychiatry 8(1):205. https://doi.org/10.1038/s41398-018-0217-4
Avinun R (2019) The E is in the G: gene–environment–trait correlations and findings from genome-wide association studies. Perspect Psychol Sci 15(1):81–89. https://doi.org/10.1177/1745691619867107
Marchi M, Elkrief L, Alkema A, van Gastel W, Schubart CD, van Eijk KR, Luykx JJ, Branje S, Mastrotheodoros S, Galeazzi GM, van Os J, Cecil CA, Conrod PJ, Boks MP (2022) Childhood maltreatment mediates the effect of the genetic background on psychosis risk in young adults. Transl Psychiatry 12(1):219. https://doi.org/10.1038/s41398-022-01975-1
O’Hare K, Watkeys O, Whitten T, Dean K, Laurens KR, Tzoumakis S, Harris F, Carr VJ, Green MJ (2022) Cumulative environmental risk in early life: associations with schizotypy in childhood. Schizophr Bull. https://doi.org/10.1093/schbul/sbac160
Kendler KS, Thacker L, Walsh D (1996) Self-report measures of schizotypy as indices of familial vulnerability to schizophrenia. Schizophr Bull 22(3):511–520. https://doi.org/10.1093/schbul/22.3.511
Ho B-C, Flaum M, Hubbard W, Arndt S, Andreasen N (2004) Validity of symptom assessment in psychotic disorders: information variance across different sources of history. Schizophr Res 68(2):299–307. https://doi.org/10.1016/j.schres.2003.07.006
Acknowledgements
This research used population data owned by the NSW Ministry of Health. The record linkage was conducted by the Centre for Health and Record Linkage. The findings and views reported are those of the authors and should not be attributed to these Departments or the NSW and Australian Government.
Funding
Open Access funding enabled and organized by CAUL and its Member Institutions. This research was conducted by the University of New South Wales with financial support from the Australian Research Council (Linkage Project LP110100150, with the NSW Ministry of Health, NSW Department of Education, and the NSW Department of Communities and Justice representing the Linkage Project Partners; Discovery Project DP170101403; Future Fellowship [FT170100294 awarded to KRL]); and Discovery Early Career Researcher Award [DE210100113 awarded to ST]; the National Health and Medical Research Council (NHMRC Project Grants APP1058652 and APP1148055 and NHMRC Partnership Project APP1133833).
Author information
Authors and Affiliations
Contributions
KO analysed data and wrote the first draft of the manuscript. OW, RJL and MJG provided input on design, analyses, interpretation of results, and reviewed the manuscript. KRL, ST, KD, FH, VJC and MJG designed, ran, acquired funding and curated data for the larger study from which these data were drawn. All authors contributed to and approved the final manuscript.
Corresponding author
Ethics declarations
Conflicts of Interest
The authors declare that there are no conflicts of interest in relation to the subject of the study.
Ethical approval
Ethical approval was obtained from the NSW Population and Health Services Research Ethics Committee (HREC/15/CIPHS/21).
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
O’Hare, K., Laurens, K.R., Watkeys, O. et al. Parental mental disorders and offspring schizotypy in middle childhood: an intergenerational record linkage study. Soc Psychiatry Psychiatr Epidemiol 58, 1637–1648 (2023). https://doi.org/10.1007/s00127-023-02455-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00127-023-02455-7