Context
There is a long history of research on the familial transmission of schizophrenia and other psychoses. However, few studies have investigated the specificity of the transmission of schizophrenia-psychosis spectrum (SPS) disorders and affective psychoses (APs) or observed high-risk offspring into mid-adulthood.
Objectives
To investigate the transmission of psychoses from parents to their offspring and the specificity of transmission across psychosis subtypes.
Design
High-risk follow-up study.
Setting
New England Family Study's High-Risk Study, with population-based community sampling from Boston, Massachusetts, and Providence, Rhode Island.
Participants
A total of 203 high-risk offspring of 159 parents with diagnoses of psychoses (SPS and AP) and 147 control offspring of 114 control parents.
Main Outcome Measures
Systematically assessed research DSM-IV psychiatric diagnoses for adult offspring.
Results
Compared with those of control parents, offspring of parents with SPS had a significant, almost 6-fold elevated risk of SPS disorders and a nonsignificant doubling of risk for AP. Offspring of parents with AP had a significant 14-fold elevated risk for AP compared with offspring of controls; for SPS disorders, the risk doubled but was not significant.
Conclusion
Having a parent with psychosis significantly increased the risk for psychosis among offspring and demonstrated specificity for the transmission of SPS disorders and APs within families.
One established method of inquiry into the etiology of schizophrenia has been the familial high-risk study design. It consists of enriched samples of subjects at greater-than-normal risk for schizophrenia defined by the presence of a first-degree, biological relative with the disorder. Most commonly, the index case has been a parent, and the persons considered at high risk are offspring, as initiated with the New York Infant Development Study in the 1950s.1 A longitudinal, prospective cohort design within the high- risk framework allows identification of premorbid characteristics, possible predictors of psychosis, rates of disorders, and other features of normal and abnormal development. Studies of this type may evaluate high-risk offspring beginning in early life, during the mother's pregnancy,2-20 during infancy,1,4,21-27 or during childhood and adolescence.14,28-57
The available prospective developmental data on these high-risk offspring have allowed for the identification of preillness characteristics and eliminated the potential of reporting bias that can occur in retrospective studies of illness among family members.58 Many of these studies prospectively observed cohorts of offspring into early adulthood.15,17,19-22,31,32,34,35,37-39,42,43,45,47-49,51,52,56 However, fewer have observed offspring through the extensive period of disease onset,19,21,22,31,32,42,45,49,56 undoubtedly in large part because of the difficulty of carrying out a long-duration follow-up. The age at onset of schizophrenia peaks between 18 and 30 years but may continue with a decelerating rate into a person's 30s and 40s, and thus a follow-up into that age range allows a better estimate of rates of psychiatric disorders and other characteristics than a study that terminates with high-risk participants in their 20s.
Despite variations in their methods (eg, differences in age at study entry, age at study follow-up, matching variables, and diagnostic criteria), these longitudinal high-risk studies have consistently reported a higher risk of psychoses among offspring of parents with psychosis than among offspring of unaffected controls.15,17,19,21,22,31,32,42,43,45,49,56,59Table 1 presents the prevalence of adult psychoses (schizophrenia-psychosis spectrum [SPS], affective psychosis [AP], and any psychoses) among the offspring of parents with psychoses from classic high-risk studies that observed offspring at least into their 20s. The differences in methods across studies likely contribute to some of the variability in rates across studies, which ranged from 4.0%17 to 22.2%,45 the latter of which included affective disorders (regardless of presence of psychosis) in the parent high-risk group.
The specificity of transmission of schizophrenia and spectrum psychoses compared with APs has only been partially investigated in a few high-risk studies. The Copenhagen Perinatal Cohort,49 Finnish Adoptive Family Study,42 Helsinki High-Risk Study,19 and New York High-Risk Project45 have examined rates of APs among offspring of parents with broadly defined schizophrenia. With the exception of the Copenhagen Perinatal Cohort, which identified no cases of AP in their sample, these studies reported rates of APs that were higher, but not significantly so, among offspring of parents with psychosis than among those of healthy controls. Although the prevalence of APs among high-risk children of parents with affective disorders in general (2.2%-3.7%) is greater than that found among healthy control children (0.0%-0.6%), to our knowledge no study has estimated the rates of APs among high-risk children of parents with APs alone. Two studies19,45 reported rates of APs among offspring, although they defined parental illness by combining nonpsychotic and psychotic affective disorders. The Finnish Adoptive Family Study42 combined APs among parental schizophrenia spectrum disorders.
Using data from the High-Risk Study of the New England Family Study (NEFS), we investigated the transmission of psychoses from parents to their offspring and the specificity of transmission across psychosis subtypes. The NEFS High-Risk Study represents one of the few epidemiologically representative cohorts studied that has prospectively observed offspring from their mothers' pregnancy to their adulthood (age ≥40 years); through rigorous tracing and interviewing methods, the study provides DSM-IV diagnoses for both parents and adult offspring by assessing a range of psychopathology. Herein we present rates of psychoses among offspring of parents with SPS disorders and APs and those of healthy controls, then test for the specificity of the transmission of SPS disorders and AP diagnoses among the adult offspring.
The national collaborative perinatal project sample
Participants for this study were selected from the Boston, Massachusetts, and Providence, Rhode Island, cohorts of the Collaborative Perinatal Project (CPP), also known as the NEFS. The CPP of the National Institute of Neurological and Communicative Disorders and Stroke was initiated more than 40 years ago to investigate prospectively the prenatal and familial antecedents of pediatric, neurologic, and psychological disorders of childhood.61 The CPP prospectively observed and examined more than 50 000 pregnancies from 12 university-affiliated medical centers through the first 7 years of the offspring's lives. Pregnant women (generation 1) were recruited between 1959 and 1966. Women in the study were largely representative of the patients receiving prenatal care at each participating center. Extensive data on gestation, labor, and delivery were collected, along with neonatal data and repeated medical, neurologic, and psychological examinations of the children (generation 2) at 4 and 8 months and 1, 4, and 7 years of age. At the conclusion of the study, a total of 55 908 pregnancies had been recorded nationally, of which 17 741 (of 13 464 generation 1 mothers) were from the New England cohorts of Boston and Providence.
High-risk follow-up study
Using the NEFS sample, we initiated a follow-up study of the high-risk families.62 The details of generation 1 ascertainment and diagnoses have been described by us (S.L.B., L.J.S., M.T.T., and J.M.G., unpublished data, 2009). Briefly, the study goal was to ascertain approximately 200 psychotic generation 1 parents, half with schizophrenia and half with APs, and a comparable group of normal control parents. Generation 1 parents were contacted between 1994 and 2002. Parents with a history of psychiatric treatment were identified by the following sources: (1) record review (previously published63); (2) subsequent record linkages with private and public psychiatric treatment facilities in Rhode Island and Massachusetts; (3) information provided by mothers during the original study (eg, psychiatric hospitalization at study enrollment, psychiatric treatment at the 7-year assessment, or history of treatment with antipsychotic medication); and (4) family member reports from recent follow-up studies with the CPP cohort. Through these efforts, from a total pool of 26 928 generation 1 parents, we identified 859 persons with indications of potential psychosis. This represents a rate of approximately 3.2% to 4.2% of the pool of parents whose data we were able to review, which is consistent with current estimates of the lifetime prevalence of psychotic disorders. Of these parents, 755 were eligible for follow-up (S.L.B., L.J.S., M.T.T., and J.M.G., unpublished data, 2009). Parents were considered eligible if at least 1 generation 2 offspring was assessed after 4 months of age.
Control parents were selected to be comparable to parents with psychotic disorders on the basis of the number of offspring enrolled in the CPP, patient status (public or private), parent's age, ethnicity (Caucasian or other), study site, and the offspring's age, sex, and history of chronic hypoxia (given that we wanted to test for the interaction of genetic vulnerability and this obstetric condition). Eligible controls included all members of the CPP who were not identified as potential psychotic parents and whose records did not indicate a history of psychiatric treatment. Healthy control parents did not have spouses, parents, siblings, or any second-degree relatives with psychoses, recurrent major depressive disorder (MDD), suicide, or psychiatric hospitalizations.
Generation 1 follow-up and psychiatric assessment
Subjects were located through a variety of methods, including thorough searches of credit bureaus, address directories, death certificates, motor vehicle reports, and home visits. The located subjects were invited to participate in a 2-part interview. The first interview screened for potential psychoses, and the second was a full diagnostic interview using the Structured Clinical Interview for DSM-IV64 and assessing Axis I diagnoses of any form of psychotic, major affective, and bipolar disorders, as well as substance abuse or dependence (alcohol and drug). The clinical interview was conducted by systematically trained master’s-level clinical interviewers. Medical records were obtained with subject consent. Family history of psychiatric disorders was evaluated by means of the Family Interview for Genetic Studies.65 Expert diagnosticians (including J.M.G., L.J.S., and June Wolf, PhD) reviewed all the information collected from both interviews and medical records, if available, to determine the final best-estimate diagnoses. If there was any evidence of mental illness in the spouse, we interviewed the spouse or, if the spouse had died, searched for medical records. Spouses' names were subjected to the linkage procedures used for the mothers. There were only 6 spouses of case parents who had a diagnosis of some form of psychosis.
Final generation 1 sample
Of the 755 eligible generation 1 parents, 212 with confirmed DSM-IV psychotic disorders were identified; they were 153 mothers (72.2%) and 59 fathers (27.8%). On the basis of past literature on familial transmission of schizophrenia and APs,66-69 parents with schizophrenia, schizoaffective disorder of depressed type, delusional disorder, brief psychosis, schizophreniform disorder, and psychosis not otherwise specified (NOS) were classified into one higher-order group (SPS disorders), and schizoaffective disorder of bipolar type, bipolar disorders with psychosis, and MDD with psychosis were classified into a second group (the APs). Parents with a history of psychotic diagnoses that were brief compared with other psychiatric disorders (eg, MDD or substance disorders) were also categorized as having a psychotic diagnosis.
The sample of 212 parents with psychosis and 132 nonpsychotic parents had a total of 467 pregnancies: 167 offspring among parents with APs, 114 offspring among parents with SPS disorders, and 186 offspring among nonpsychotic parents (Figure). Of note, among the 344 final generation 1 parents, there were six “2-parent families” in which both parents were diagnosed as having some form of psychosis, resulting in a sample size of 338 unduplicated families. Of the 467 pregnancies, 22 (4.7%) resulted in an offspring who was stillborn, did not live past early childhood, was lost to follow-up before age 7 years, or was adopted or placed in foster care and thus ineligible for this adult follow-up study. Of the 445 eligible individuals in generation 2, 428 (96.2%) were located of whom 344 (80.4%) were interviewed, for an overall interview rate of 77.3%. In addition to the 344 generation 2 subjects with diagnostic information from interviews, 6 subjects in generation 2 had a diagnostic summary from medical records from treatment facilities available, for a total of 350 generation 2 subjects with diagnostic information. This reflects a completed diagnostic rate of 78.7%, quite successful for a 30- to 40-year follow-up study.
Generation 2 adult psychiatric assessment
Similar to the procedures used for the generation 1 sample, individuals with major psychosis within the NEFS cohort were identified through a 2-stage diagnostic assessment procedure. Subjects were located by a variety of methods, including searches of credit bureaus, address directories, death certificates, and motor vehicle reports, and by home visits.70 Further potential generation 2 offspring with psychotic illness were identified through record linkages with public hospitals, mental health clinics, and the Massachusetts and Rhode Island departments of mental health. Those who consented to participate in follow-up efforts were interviewed by a trained master’s-level interviewer using the Structured Clinical Interview for DSM-IV64 to determine lifetime prevalence of psychotic and other mental disorders. On the basis of interview data and medical record review, diagnosticians (including J.M.G. and L.J.S.) then completed best-estimate consensus diagnoses according to the DSM-IV criteria.71 Diagnostic interviews were completed for 344 subjects; medical charts alone were available for the remaining 6 subjects. All diagnoses were made blind with respect to parent status.
Human subjects approval was granted by human studies review groups at Harvard University (Boston), Brown University (Providence), and local psychiatric facilities. Written consent was obtained from all interviewed study participants, and subjects were paid for their participation.
Data analyses examined rates of generation 2 psychopathology in relation to generation 1 diagnostic status. Psychopathological diagnoses for both generation 1 and generation 2 were categorized as SPS and AP and as any psychosis (both SPS and AP). Additional psychopathology groups of interest for the generation 2 subjects were (1) all schizophrenia spectrum disorders (including nonpsychotic disorders) (schizophrenia, schizoaffective depressed disorder, schizophreniform disorder, psychosis NOS, delusional disorder, brief psychosis, and schizotypal personality disorder [SPD]); (2) affective spectrum disorders (bipolar disorder with psychosis, schizoaffective bipolar disorder, MDD with psychosis, bipolar disorder without psychosis, and recurrent MDD); and (3) any psychopathology (schizophrenia, schizoaffective depressed disorder, schizophreniform disorder, psychosis NOS, delusional disorder, brief psychosis, schizotypal personality disorder, bipolar disorder with psychosis, SPD, bipolar disorder, MDD with psychosis, bipolar disorder without psychosis, recurrent MDD, and schizoid and paranoid personality disorders).
Least-squares means and standard errors for continuous maternal variables were calculated with mixed linear models accounting for intrafamilial correlation. For count variables (ie, number of pregnancies and number of children), the means and standard errors were calculated with Poisson regression based on a generalized estimating equations model to account for the intrafamilial correlation. Risk ratios were calculated by regression analyses modeled with generalized estimating equations. For models with a small number of offspring in a cell (ie, 5 or less), the generalized estimating equations approach is a statistically inappropriate model. Thus, exact methods were used to calculate the relative risks (RRs) and corresponding 95% confidence intervals (CIs). The comparison group was composed of generation 2 offspring of unaffected generation 1 parents. The following potential confounders were examined: socioeconomic status (SES), maternal ethnicity, maternal marital status, study site, offspring sex, parity, gravity, maternal education, offspring year of birth, and maternal age. Parental SES and maternal ethnicity were identified as statistically significant confounders in univariate analyses in several models, in particular the SPS and psychosis models. All models were adjusted for these 2 covariates for consistency. The models for offspring recurrent MDD and affective spectrum disorder additionally controlled for generation 2 sex, which was significant in the multivariate models.
The final analytic sample included 350 generation 2 subjects who were the offspring of 273 generation 1 families. Of these families, there were 114 healthy control parents and 159 parents with psychosis. Of the 159 generation 1 subjects with psychosis, 59 had SPS disorders (schizophrenia in 36, schizoaffective depressed disorder in 5, delusional disorder in 4, schizophreniform disorder in 1, psychosis NOS in 12, and history of psychosis not otherwise due to organicity in 1). The remaining 100 parents with psychosis had APs (schizoaffective bipolar type in 9, bipolar disorder with psychotic features in 41, MDD with psychosis in 40, history of MDD with psychosis in 6, and history of bipolar disorder with psychosis in 4).
Among the 350 generation 2 subjects, 28 (8.0%) developed psychosis in adulthood. The numbers of SPS disorders and APs among these offspring were as follows: 12 offspring with SPS (schizophrenia in 4, delusional disorder in 2, brief psychosis in 2, and psychosis NOS in 4) and 16 offspring with APs (schizoaffective bipolar type in 3, bipolar disorder with psychotic features in 12, and MDD with psychosis in 1).
The demographic features of the final analytic sample are presented in Table 2. Of the offspring, 92.0% were born to Caucasian mothers and 90.9% were born to mothers who were married. The majority of the study offspring were from the Boston site (73.4%). The mean age of the mothers at pregnancy was 26.4 years. They had a mean education of 11.1 years in school, a mean of 2.2 pregnancies and 1.9 children, and a roughly uniform SES distribution. Among the offspring born to parents with SPS disorders, significantly fewer had mothers who were married compared with offspring of healthy control parents (84.5% [SPS] vs 93.2% [control]; χ21 = 4.2, P = .04). Furthermore, there were significantly fewer offspring of parents with SPS disorders in the highest SES quartile than offspring of healthy control parents (15.5% vs. 29.3%; χ21 = 4.9, P = .03). In general, there were few sociodemographic differences between offspring of parents with psychosis and offspring of healthy control parents except for lower SES and being married, which is typical for individuals with psychosis. Findings controlled for sociodemographic characteristics did not change the relative risks.
Table 3 and Table 4 provide the frequency and relative risks for offspring adult psychopathology in relation to parent psychoses. Having a parent with psychosis (“any psychoses”) increased the offspring's risk of psychosis 5-fold compared with offspring of healthy control parents (adjusted RR, 5.4; 95% CI, 1.7-17.6) (Table 3). The rate of psychosis in generation 2 was 12.3% for offspring of parents with a psychotic disorder vs 2.0% for offspring of healthy control parents. However, psychosis subtype (ie, APs vs SPS disorders) among the offspring was specific to the psychosis subtype of the parent. That is, although having a parent with AP increased the risk of AP in offspring 14-fold (RR, 14.0; 95% CI, 1.8-106.3), the risk for SPS disorders in their offspring was not significantly elevated (RR, 2.2; 95% CI, 0.4-12.0). The rate of generation 2 AP was 10.6% for offspring of parents with AP vs 3.0% for generation 2 SPS in offspring of such parents. Alternatively, although having a parent with an SPS disorder increased the risk of SPS in their offspring almost 6-fold (RR, 5.5; 95% CI, 1.2-26.0) compared with offspring of healthy controls, there was a lack of significant risk for AP in their offspring (RR, 2.1; 95% CI, 0.1-32.6). The rate of generation 2 SPS was 8.5% for offspring of parents with SPS disorders vs 1.4% for generation 2 AP in offspring of healthy control parents.
These results did not change if we excluded schizoaffective disorder, depressed type (SAD), from the SPS parental group. There were only 5 parents with SAD. Of their 7 offspring, 6 had Axis 1 diagnoses of substance use disorders or personality disorders unassociated with the genetic spectrum of schizophrenia or AP. One had no Axis I or II disorders. Thus, removing the SAD group from the nonaffective psychoses group and adding them to the AP group did not change the results.
In terms of the spectrum disorders, parental AP significantly increased the offspring's risk for affective spectrum disorder compared with offspring of healthy control parents (RR, 1.6; 95% CI, 1.0-2.6) (Table 4). Compared with risk among offspring of healthy control parents, parental psychosis did not significantly increase the offspring's risk for SPD or recurrent MDD. Of note, SPD showed greater association with the AP than the SPS phenotype (5.3% vs 1.4%). To understand this issue further, we analyzed the symptoms of SPD72,73 in association with the AP and SPS parental status. Results showed that APs were associated with SPD interpersonal traits (ie, excessive social anxiety, no close friends, inappropriate or constricted affect, and suspiciousness or paranoid ideation) and not the SPD cognitive-perceptual items.
Psychoses, and particularly AP in the parent, significantly increased the risk of diagnosis of any psychopathology in the offspring (AP: RR, 1.5; 95% CI, 1.1-2.2). Schizophrenia-psychosis spectrum disorders in the parent were not significantly associated with general psychopathology in the offspring, but rather the transmission of SPS in the parent appeared specific to SPS in the offspring (Table 3).
Finally, results in Table 4 show 34 adult offspring with recurrent MDD: 7 had a parent with schizophrenia (21%), 2 with schizoaffective disorder, bipolar type (6%), 6 with bipolar disorder with psychosis (18%), 5 with MDD with psychosis (15%), 4 with other Axis I or II disorders (12%), and 10 with no Axis I or II disorders (29%). Although the percentage of offspring from parents with AP who had recurrent MDD was higher than among those of parents with SPS disorders (38% vs 21%), the RR among the 2 parental groups was approximately 10% for each group, which was similar among the healthy control parents (approximately 9.5%). Thus, in addition to a larger confidence interval for recurrent MDD offspring risk among the SPS than among the AP group, this resulted in lack of a significant difference between the groups.
In this new NEFS high-risk study of psychoses, we demonstrated an increased risk of psychoses among the offspring of parents with psychoses. Consistent with rates reported in the high-risk literature (Table 1), there was a prevalence of 9.9% for psychoses and 8.5% for SPS disorders among offspring of parents with SPS disorders, representing an approximately 6-fold increased risk for SPS disorders among offspring of parents with SPS disorders. Among offspring of parents with APs, 13.6% developed psychoses and 10.6% developed AP, representing a 14-fold increased risk of APs among offspring of parents with APs.
The magnitude of risk estimates in this study is similar to that in a number of reports of other high-risk studies (Table 1), in particular studies that clinically interviewed subjects by using current diagnostic criteria and used similar inclusion criteria for the definition of psychoses for both offspring and parents. Furthermore, there were differences in control for potential confounders and age at follow-up assessment across studies. The risk estimates (in the following studies, represented by odds ratios [ORs]) for the Copenhagen High-Risk Study31 (OR, 8.6), the Finnish Adoptive Family Study42 (OR, 4.9), and the Copenhagen Perinatal Project49 (OR, 4.5) are similar to our relative risk for psychosis of 5.4. In each of these studies, the offspring were assessed at 34 to 48 years of age and diagnoses were made on the basis of personal interviews and medical record information, similar to our study. In contrast, for example, the Helsinki High-Risk Project19 and Swedish registry study by Lichtenstein and colleagues59 resulted in higher risks (OR, 12.9 and 10.3, respectively). These 2 studies included schizoaffective disorder, bipolar type, in the definition of SPS. Finally, they used clinical diagnoses, which we know may be accurate with regard to “presence of psychosis” but not necessarily with regard to type of psychosis. The highest risk estimate was the study in Myles-Worsley et al.60 However, there is substantial use of betel nut (a muscarinic agonist) chewing in the healthy population as well as in patients with schizophrenia, particularly high in women,74,75 which may contribute to the substantially high rate of psychosis in the high-risk offspring, a hypothesis that warrants investigation.
However, a rate of SPS of 8.5% among offspring of parents with SPS is still on the lower side of the high-risk study literature. The lower rate of psychoses may be partially accounted for by nonparticipation among study offspring in general. Our design required location, interview, and diagnosis of offspring of both healthy and affected parents and, as in all such studies, we did not have complete participation (although our response rate of approximately 79% is excellent for a 40-year follow-up study). It may be the case that we were less successful in enrolling offspring with psychotic disorders either because they were more transient and difficult to locate and/or because of a lack of willingness to participate in this research project. Both of these methodologic points would result in a reduced estimate of the rate of psychosis among the offspring generation in general. However, there is little reason to expect that this reduction would be greater among high-risk offspring vs healthy control offspring. In other words, irrespective of the parental diagnosis, one might anticipate lower participation rates among offspring with psychoses. This “nondifferential attrition” is well recognized in the epidemiologic literature and is likely to generate lower absolute estimates of the rate of offspring psychoses in both the high-risk and healthy control groups, but would not alter the relative risk comparing the rates of these 2 groups.
Family history diagnostic information, obtained by using the Family Interview for Genetic Studies from first-degree relatives, was used to assess psychosis or other major psychopathology in non-CPP siblings. Of the non-CPP siblings, 5 were diagnosed as having psychoses. However, for the current analytic sample we included only offspring who participated in the CPP because of the rich amount of early-life data available for these subjects that were not available for their non-CPP siblings. This would not bias our RR estimates because CPP offspring represented all offspring born to these parents between 1959 and 1966. We would argue that these offspring are representative of the experience of offspring born to these parents at other periods; thus, excluding non-CPP offspring would not introduce a bias into our RR estimates. That is, the rate of psychoses in offspring born between 1959 and 1966 should not be different from rates of psychoses in offspring born to these parents at other times.
In this study, we demonstrated specificity of risk by psychosis subtype (SPS vs AP), a relationship that has not been previously reported, to our knowledge. In previous literature, the affective high-risk groups included offspring of subjects with both psychotic and nonpsychotic affective disorders, and in some studies43 it was not clear whether psychosis in the parent was included at all. The Finnish Adoptive Family Study,42 New York High-Risk Project,45 and Helsinki High-Risk Project19 examined APs in the offspring but did not explore the rates of APs in the offspring of parents with such disorders. The affective high-risk groups in the latter 2 studies were based on offspring of parents with unipolar disorder and bipolar disorder with and without psychosis. The Finnish Adoptive Family Study42 combined APs among parental schizophrenia spectrum disorders. Thus, our study findings are unique because we investigated specificity of transmission of illness in offspring of parents with SPS disorders compared with APs.
These findings must be replicated because, owing to sample size, we have limited power to test whether the 2-fold RRs we found for these “cross-disorder rates” (ie, AP in offspring among parents with SPS and vice versa) are in fact significant compared with the 6-fold increased risk of SPS in offspring of parents with SPS and the 14-fold increased risk of AP in offspring of parents with AP. However, the magnitude of the risks within each diagnostic grouping (ie, RRs of 5.5 and 14.0) are much higher than the cross-disorder risk estimates for both groups (ie, RRs of 2.1 and 2.2). This suggests, at least, that there is some cross-disorder risk but not as high as within psychosis type.
The reason for the specificity of the transmission of SPS disorders and APs found in our study is currently unknown. In fact, recent molecular studies suggested nonspecificity of transmission by psychosis type or some common genetic susceptibility genes for both classes of psychoses.76 However, the results of this study indicating relative specificity of transmission for type of psychosis must be seen in a larger context of an increasing focus on identifying similarities and differences between schizophrenia and APs. This effort includes identifying commonalities and dissimilarities in endophenotypes, such as auditory P30077 and P50,78 brain volumes,79 neuropsychological function,80 and other measures. An emerging model suggests that there is an overlapping genetic background to psychosis,81 but that schizophrenia, more than bipolar psychosis, is likely to be associated with additional neurodevelopmental insults.82 Our high-risk study suggests that clinical phenotypes (operationalized as lifetime diagnoses of these disorders in adult offspring and their parents) are relatively specifically linked within families to type of psychosis. This does not rule out the possibility that there will be overlapping neural phenotypes in our study, a question that is under active investigation by our group.
Recent molecular studies identifying unique and shared genes and environmental factors will help to elucidate mechanisms. The NEFS sample also provides a unique opportunity to contribute to this because we have stored prenatal and adult blood from these subjects to assess prenatal risk factors and genotyping in our family-based strategy. Furthermore, the sample has enriched childhood environmental variables to assess gene-environment interactions in our ongoing work with these cohorts.
Our family high-risk (FHR) study, along with other studies focused on offspring of parents with psychoses, provides an understanding of the transmission of psychosis from parents to their offspring. In addition, clinical high-risk (CHR) studies83-86 are based on enriched samples of adolescents or young people with prodromes for psychosis, individuals who already exhibit subthreshold symptoms and who are likely to develop psychosis within a relatively short time. This popular design provides an efficient approach to prospectively investigate the transmission of high-risk persons from the prodromal state to disease onset and potentially allows for targeted interventions during a treatment-seeking phase with a favorable risk to benefit ratio. Thus, CHR studies have a number of strengths not found in FHR studies, which have a lower rate of conversion to psychosis over longer periods.
However, we would argue that CHR studies complement but should not supplant the FHR design because each approach has strengths and weaknesses. For example, the FHR design enables investigators to study early precursors to illness, beginning with fetal life, thus enabling the identification of premorbid characteristics that may ultimately lay the foundation for early interventions and prevention strategies. In addition, assessment at earlier ages in FHR studies typically allows for evaluation without the potential confounding effects of medication use, which is far more common in treatment-seeking CHR individuals. The FHR studies tend to allow for more homogeneous cases, at least with respect to family diagnosis, whereas CHR studies include a mix of families in which there may be only 1 or multiple members with psychoses. Thus, the FHR studies, such as the one presented herein, have considerable value for understanding the developmental course of these illnesses given that there are few FHR-based studies in the literature, including the NEFS, with the potential for studies of lifelong development.
Correspondence: Jill M. Goldstein, PhD, 1 Brigham Cir, Division of Women's Health, Brigham and Women's Hospital, 1620 Tremont St, Third Floor, Boston, MA 02120 (jill_goldstein@hms.harvard.edu).
Submitted for Publication: December 2, 2008; final revision received July 27, 2009; accepted September 6, 2009.
Financial Disclosure: None reported.
Funding/Support: This work was funded primarily by grant RO1 MH50647 from the National Institute of Mental Health (1999-2003, principal investigator Dr Tsuang; 2003-2006, principal investigator Dr Goldstein). Additional funding included National Institute of Mental Health grant RO1 MH63951 (Dr Seidman), Stanley Medical Research Institute (Drs Buka and Seidman), and NARSAD (Dr Seidman).
Additional Contributions: Sara Cherkerzian, ScD, June Wolf, PhD, Anne Peters-Remington, BA, CM, and JoAnn Donatelli, PhD, contributed tirelessly over several years with regard to the recruitment and diagnoses of subjects and data analyses. Their efforts have been (and continue to be) invaluable to the success of this study. We also appreciate the efforts of a number of research assistants over the years and a previous project coordinator, Lisa Denny, MD, for their contributions to the study at an earlier stage of the work and Ronald O. Rieder, MD, for access to his earlier 1975 study of some of the Boston mothers in our parental case group.
2.Hanson
DRGottesman
IIHeston
LL Some possible childhood indicators of adult schizophrenia inferred from children of schizophrenics.
Br J Psychiatry 1976;129142- 154
PubMedGoogle ScholarCrossref 3.Marcuse
YCornblatt
B Children at risk for schizophrenia: predictions from infancy to childhood functioning. In: Erlenmeyer-Kimling
L, Miller
NE, eds.
Life-Span Research on the Prediction of Psychopathology. Hillsdale, NJ: Lawrence Erlbaum Assoc Publishers; 1986:81-100
Google Scholar 4.Garmezy
N Children at risk: the search for the antecedents of schizophrenia, part II: ongoing research programs, issues, and intervention.
Schizophr Bull 1974;9
(9)
55- 125
PubMedGoogle ScholarCrossref 5.Mednick
SAMura
ESchulsinger
FMednick
B Perinatal conditions and infant development in children with schizophrenic parents.
Soc Biol 1971;18
((suppl))
S103- S113
PubMedGoogle Scholar 6.Sobel
DE Children of schizophrenic parents: preliminary observations on early development.
Am J Psychiatry 1961;118512- 517
PubMedGoogle Scholar 7.Schachter
J Development of a screening questionnaire for schizophrenia: a pilot study.
Arch Gen Psychiatry 1970;23
(1)
30- 34
PubMedGoogle ScholarCrossref 9.Ragins
NSchachter
JElmer
EPreisman
RBowes
AEHarway
V Infants and children at risk for schizophrenia: environmental and developmental observations.
J Am Acad Child Psychiatry 1975;14
(1)
150- 177
PubMedGoogle ScholarCrossref 10.Sameroff
ASeifer
RZax
MBarocas
R Early indicators of developmental risk: Rochester Longitudinal Study.
Schizophr Bull 1987;13
(3)
383- 394
PubMedGoogle ScholarCrossref 11.Sameroff
AJBarocas
RSeifer
R The early development of children born to mentally ill women. In: Watt
NF, Anthony
EJ, Wynne
LC, Rolf
JE, eds.
Children at Risk for Schizophrenia: A Longitudinal Perspective. New York, NY: Cambridge University Press; 1984:482-514
Google Scholar 12.Marcus
JAuerbach
JWilkinson
LBurack
CM Infants at risk for schizophrenia: the Jerusalem Infant Development Study.
Arch Gen Psychiatry 1981;38
(6)
703- 713
PubMedGoogle ScholarCrossref 13.Marcus
JAuerbach
JWilkinson
LBurack
CM Infants at risk for schizophrenia: the Jerusalem Infant Development Study. In: Watt
NF, Anthony
EJ, Wynne
LC, Rolf
JE, eds.
Children at Risk for Schizophrenia: A Longitudinal Perspective. New York, NY: Cambridge University Press; 1984:440-464
Google Scholar 14.Marcus
JHans
SLNagler
SAuerbach
JGMirsky
AFAubrey
A Review of the NIMH Israeli Kibbutz-City Study and the Jerusalem Infant Development Study.
Schizophr Bull 1987;13
(3)
425- 438
PubMedGoogle ScholarCrossref 15.Hans
SLMarcus
JNuechterlein
KHAsarnow
RFStyr
BAuerbach
JG Neurobehavioral deficits at adolescence in children at risk for schizophrenia: the Jerusalem Infant Development Study.
Arch Gen Psychiatry 1999;56
(8)
741- 748
PubMedGoogle ScholarCrossref 17.Schubert
EWMcNeil
TF Prospective study of adult mental disturbance in offspring of women with psychosis.
Arch Gen Psychiatry 2003;60
(5)
473- 480
PubMedGoogle ScholarCrossref 18.Wrede
GMednick
SAHuttunen
MONilsson
CG Pregnancy and delivery complications in the births of an unselected series of Finnish children with schizophrenic mothers.
Acta Psychiatr Scand 1980;62
(4)
369- 381
PubMedGoogle ScholarCrossref 19.Niemi
LTSuvisaari
JMHaukka
JKWrede
GLonnqvist
JK Cumulative incidence of mental disorders among offspring of mothers with psychotic disorder: results from the Helsinki High-Risk Study.
Br J Psychiatry 2004;18511- 17
PubMedGoogle ScholarCrossref 20.Webb
RTAbel
KMPickles
ARAppleby
LKing-Hele
SAMortensen
PB Mortality risk among offspring of psychiatric inpatients: a population-based follow-up to early adulthood.
Am J Psychiatry 2006;163
(12)
2170- 2177
PubMedGoogle ScholarCrossref 21.Fish
BKendler
KS Abnormal infant neurodevelopment predicts schizophrenia spectrum disorders.
J Child Adolesc Psychopharmacol 2005;15
(3)
348- 361
PubMedGoogle ScholarCrossref 22.Heston
LL Psychiatric disorders in foster home reared children of schizophrenic mothers.
Br J Psychiatry 1966;112
(489)
819- 825
PubMedGoogle ScholarCrossref 23.Grunebaum
HWeiss
JLGallant
DCohler
BJ Attention in young children of psychotic mothers.
Am J Psychiatry 1974;131
(8)
887- 891
PubMedGoogle Scholar 24.Grunebaum
HUWeiss
JLHirsch
LLBarrett
JE
Jr The baby on the ward: a mother-child admission to an adult psychiatric hospital.
Psychiatry 1963;2639- 53
PubMedGoogle Scholar 27.Goodman
SHEmory
EK Perinatal complications in births to low socioeconomic status schizophrenic and depressed women.
J Abnorm Psychol 1992;101
(2)
225- 229
PubMedGoogle ScholarCrossref 28.Mednick
SASchulsinger
F Some premorbid characteristics related to breakdown in children with schizophrenic mothers. In: Rosenthal
D, Kety
SS, eds.
The Transmission of Schizophrenia. Oxford, England: Pergamon Press; 1968:267-291
Google Scholar 29.Mednick
SACudeck
RGriffith
JJTalovic
SASchulsinger
F The Danish High-Risk Project: recent methods and findings. In: Watt
NF, Anthony
EJ, Wynne
LC, Rolf
JE, eds.
Children at Risk for Schizophrenia: A Longitudinal Perspective. New York, NY: Cambridge University Press; 1984:21-42
Google Scholar 31.Parnas
JCannon
TDJacobsen
BSchulsinger
HSchulsinger
FMednick
SA Lifetime
DSM-III-R diagnostic outcomes in the offspring of schizophrenic mothers.
Arch Gen Psychiatry 1993;50
(9)
707- 714
PubMedGoogle ScholarCrossref 32.Ingraham
LJKugelmass
SFrenkel
ENathan
MMirsky
AF Twenty-five-year followup of the Israeli High-Risk Study: current and lifetime psychopathology.
Schizophr Bull 1995;21
(2)
183- 192
PubMedGoogle ScholarCrossref 33.Mirsky
AFKugelmass
SIngraham
LJFrenkel
ENathan
M Overview and summary: twenty-five-year followup of high-risk children.
Schizophr Bull 1995;21
(2)
227- 239
PubMedGoogle ScholarCrossref 34.Yarden
PENevo
BF The differential effect of the schizophrenic mother's stages of illness on her children.
Br J Psychiatry 1968;114
(514)
1089- 1096
PubMedGoogle ScholarCrossref 35.Worland
JLander
HHesselbrock
V Psychological evaluation of clinical disturbance in children at risk for psychopathology.
J Abnorm Psychol 1979;88
(1)
13- 26
PubMedGoogle ScholarCrossref 36.Worland
JWeeks
DGWeiner
SMSchechtman
J Longitudinal, prospective evaluations of intelligence in children at risk.
Schizophr Bull 1982;8
(1)
135- 141
PubMedGoogle ScholarCrossref 37.Worland
JJanes
CLAnthony
EJMcGinnis
MCass
L St Louis Risk Research Project: comprehensive progress report of experimental studies. In: Watt
NF, Anthony
EJ, Wynne
LC, Rolf
JE, eds.
Children at Risk for Schizophrenia: A Longitudinal Perspective. New York, NY: Cambridge University Press; 1984:105-147
Google Scholar 38.Rolf
JE The social and academic competence of children vulnerable to schizophrenia and other behavior pathologies.
J Abnorm Psychol 1972;80
(3)
225- 243
PubMedGoogle ScholarCrossref 39.Garmezy
NDevine
V Project competence: the Minnesota studies of children vulnerable to psychopathology. In: Watt
NF, Anthony
EJ, Wynne
LC, Rolf
JE, eds.
Children at Risk for Schizophrenia: A Longitudinal Perspective. New York, NY: Cambridge University Press; 1984:289-303
Google Scholar 40.Tienari
PSorri
ALahti
INaarala
MWahlberg
KEMoring
JPohjola
JWynne
LC Genetic and psychosocial factors in schizophrenia: the Finnish Adoptive Family Study.
Schizophr Bull 1987;13
(3)
477- 484
PubMedGoogle ScholarCrossref 41.Tienari
PWynne
LCMoring
JLaksy
KNieminen
PSorri
ALahti
IWahlberg
KENaarala
MKurki-Suonio
KSaarento
OKoistinen
JMTarvainen
THakko
HMiettunen
J Finnish Adoptive Family Study: sample selection and adoptee
DSM-III-R diagnoses
Acta Psychiatr Scand 2000;101
(6)
433- 443
PubMedGoogle ScholarCrossref 42.Tienari
PWynne
LCLaksy
KMoring
JNieminen
PSorri
ALahti
IWahlberg
KE Genetic boundaries of the schizophrenia spectrum: evidence from the Finnish Adoptive Family Study of Schizophrenia.
Am J Psychiatry 2003;160
(9)
1587- 1594
PubMedGoogle ScholarCrossref 45.Erlenmeyer-Kimling
LSquires-Wheeler
EAdamo
UHBassett
ASCornblatt
BAKestenbaum
CJRock
DRoberts
SAGottesman
II The New York High-Risk Project: psychoses and cluster A personality disorders in offspring of schizophrenic parents at 23 years of follow-up.
Arch Gen Psychiatry 1995;52
(10)
857- 865
PubMedGoogle ScholarCrossref 46.Erlenmeyer-Kimling
LHans
SLIngraham
LJMarcus
JWynne
LCRehman
ARoberts
SAAuerbach
J Handedness in children of schizophrenic parents: data from three high-risk studies.
Behav Genet 2005;35
(3)
351- 358
PubMedGoogle ScholarCrossref 48.Steffy
RAAsarnow
RFAsarnow
JRMacCrimmon
DJCleghorn
JM The McMaster-Waterloo High-Risk Project: multifaceted strategy for high-risk research. In: Watt
NF, Anthony
EJ, Wynne
LC, Rolf
JE, eds.
Children at Risk for Schizophrenia: A Longitudinal Perspective. New York, NY: Cambridge University Press; 1984:401-420
Google Scholar 49.Schiffman
JEkstrom
MLaBrie
JSchulsinger
FSorensen
HMednick
S Minor physical anomalies and schizophrenia spectrum disorders: a prospective investigation.
Am J Psychiatry 2002;159
(2)
238- 243
PubMedGoogle ScholarCrossref 50.Schiffman
JLam
CWJiwatram
TEkstrom
MSorensen
HMednick
S Perspective-taking deficits in people with schizophrenia spectrum disorders: a prospective investigation.
Psychol Med 2004;34
(8)
1581- 1586
PubMedGoogle ScholarCrossref 51.Wichstrøm
LAnderson
AMHolte
AWynne
LC Disqualifying family communication and childhood social competence as predictors of offspring's mental health and hospitalization.
J Nerv Ment Dis 1996;184
(10)
581- 588
PubMedGoogle ScholarCrossref 52.Wynne
LCCole
REPerkins
P University of Rochester Child and Family Study: risk research in progress.
Schizophr Bull 1987;13
(3)
463- 476
PubMedGoogle ScholarCrossref 54.Johnstone
ECAbukmeil
SSByrne
MClafferty
RGrant
EHodges
ALawrie
SMOwens
DG Edinburgh High Risk Study—findings after four years: demographic, attainment, and psychopathological issues.
Schizophr Res 2000;46
(1)
1- 15
PubMedGoogle ScholarCrossref 55.Johnstone
ECLawrie
SMCosway
R What does the Edinburgh High-Risk Study tell us about schizophrenia?
Am J Med Genet 2002;114
(8)
906- 912
PubMedGoogle ScholarCrossref 57.Lawrie
SMWhalley
HKestelman
JNAbukmeil
SSByrne
MHodges
ARimmington
JEBest
JJOwens
DGJohnstone
EC Magnetic resonance imaging of brain in people at high risk of developing schizophrenia.
Lancet 1999;353
(9146)
30- 33
PubMedGoogle ScholarCrossref 58.Gottesman
IIShields
J Schizophrenia, the Epigenetic Puzzle. New York, NY: Cambridge University Press; 1982
59.Lichtenstein
PBjörk
CHultman
CMScolnick
ESklar
PSullivan
PF Recurrence risks for schizophrenia in a Swedish national cohort.
Psychol Med 2006;36
(10)
1417- 1425
PubMedGoogle ScholarCrossref 60.Myles-Worsley
MTiobech
JBlailes
FYano
VMFaraone
SV Recurrence risk to offspring in extended multiplex schizophrenia pedigrees from a pacific island isolate.
Am J Med Genet B Neuropsychiatr Genet 2007;144B
(1)
41- 44
PubMedGoogle ScholarCrossref 61.Niswander
KRGordon
M The Women and Their Pregnancies: The Collaborative Perinatal Study of the National Institute of Neurological Diseases and Stroke. Washington, DC: US Dept of Health, Education, and Welfare; 1972
62.Buka
SLGoldstein
JMSeidman
LJZornberg
GLDonatelli
JADenny
LRTsuang
MT Prenatal complications, genetic variability, and schizophrenia: the New England longitudinal studies of schizophrenia.
Psychiatr Ann 1999;29
(3)
151- 156
Google ScholarCrossref 63.Rieder
RORosenthal
DWender
PBlumenthal
H The offspring of schizophrenics: fetal and neonatal deaths.
Arch Gen Psychiatry 1975;32
(2)
200- 211
PubMedGoogle ScholarCrossref 64.First
MBSpitzer
RLGibbon
MWilliams
JBW Structured Clinical Interview for DSM-IV Axis I Disorders—Patient Edition (SCID-I/P, Version 2.0). Washington, DC: American Psychiatric Press; 1996
65.Maxwell
ME FIGS. Bethesda, MD: Clinical Neurogenetics Branch, Intramural Research Program, National Institute of Mental Health; 1996
67.Gottesman
II Schizophrenia Genesis: The Origin of Madness. New York, NY: Freeman; 1991
68.Kendler
KSMasterson
CCDavis
KL Psychiatric illness in first-degree relatives of patients with paranoid psychosis, schizophrenia, and medical illness.
Br J Psychiatry 1985;147524- 531
PubMedGoogle ScholarCrossref 70.Klebanoff
MAZemel
BSBuka
SLZierler
S Long-term follow-up of participants in the Collaborative Perinatal Project: tracking the next generation
Paediatr Perinat Epidemiol 1998;12
(3)
334- 346
PubMedGoogle ScholarCrossref 71.American Psychiatric Association Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Washington, DC: American Psychiatric Association; 1997
72.Kendler
K The Structured Interview for Schizotypy (SIS). ed 1.5. Richmond: Medical College of Virginia Hospitals; 1985
73.Kendler
KSLieberman
JAWalsh
D The Structured Interview for Schizotypy (SIS): a preliminary report.
Schizophr Bull 1989;15
(4)
559- 571
PubMedGoogle ScholarCrossref 74.Sullivan
RJAllen
JSOtto
CTiobech
JNero
K Effects of chewing betel nut (Areca catechu) on the symptoms of people with schizophrenia in Palau, Micronesia.
Br J Psychiatry 2000;177174- 178
PubMedGoogle ScholarCrossref 75.Sullivan
RJAndres
SOtto
CMiles
WKydd
R The effects of an indigenous muscarinic drug, betel nut (Areca catechu), on the symptoms of schizophrenia: a longitudinal study in Palau, Micronesia.
Am J Psychiatry 2007;164
(4)
670- 673
PubMedGoogle ScholarCrossref 76.Kanazawa
TChana
GGlatt
SJMizuno
HMasliah
EYoneda
HTsuang
MTEverall
IP The utility of
SELENBP1 gene expression as a biomarker for major psychotic disorders.
Am J Med Genet B Neuropsychiatr Genet 2008;147B
(6)
686- 689
PubMedGoogle ScholarCrossref 77.Schulze
KKHall
MHMcDonald
CMarshall
NWalshe
MMurray
RMBramon
E Auditory P300 in patients with bipolar disorder and their unaffected relatives.
Bipolar Disord 2008;10
(3)
377- 386
PubMedGoogle ScholarCrossref 78.Schulze
KKHall
MHMcDonald
CMarshall
NWalshe
MMurray
RMBramon
E P50 auditory evoked potential suppression in bipolar disorder patients with psychotic features and their unaffected relatives.
Biol Psychiatry 2007;62
(2)
121- 128
PubMedGoogle ScholarCrossref 79.McDonald
CMarshall
NSham
PCBullmore
ETSchulze
KChapple
BBramon
EFilbey
FQuraishi
SWalshe
MMurray
RM Regional brain morphometry in patients with schizophrenia or bipolar disorder and their unaffected relatives.
Am J Psychiatry 2006;163
(3)
478- 487
PubMedGoogle ScholarCrossref 80.Seidman
LJGiuliano
AJSmith
CWStone
WSGlatt
SJMeyer
EFaraone
SVTsuang
MTCornblatt
B Neuropsychological functioning in adolescents and young adults at genetic risk for schizophrenia and affective psychoses: results from the Harvard and Hillside Adolescent High Risk Studies.
Schizophr Bull 2006;32
(3)
507- 524
PubMedGoogle ScholarCrossref 81.Cardno
AGRijsdijk
FVSham
PCMurray
RMMcGuffin
P A twin study of genetic relationships between psychotic symptoms.
Am J Psychiatry 2002;159
(4)
539- 545
PubMedGoogle ScholarCrossref 82.Murray
RMSham
PCvan Os
JZanelli
JCannon
MMcDonald
C A developmental model for similarities and dissimilarities between schizophrenia and bipolar disorder.
Schizophr Res 2004;71
(2-3)
405- 416
PubMedGoogle ScholarCrossref 84.Yung
ARMcGorry
PD The initial prodrome in psychosis: descriptive and qualitative aspects.
Aust N Z J Psychiatry 1996;30
(5)
587- 599
PubMedGoogle ScholarCrossref 85.Yung
ARMcGorry
PD The prodromal phase of first-episode psychosis: past and current conceptualizations.
Schizophr Bull 1996;22
(2)
353- 370
PubMedGoogle ScholarCrossref 86.Cannon
TDCadenhead
KCornblatt
BWoods
SWAddington
JWalker
ESeidman
LJPerkins
DTsuang
MMcGlashan
THeinssen
R Prediction of psychosis in youth at high clinical risk: a multisite longitudinal study in North America.
Arch Gen Psychiatry 2008;65
(1)
28- 37
PubMedGoogle ScholarCrossref