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Heritability of Schneider's first-rank symptoms

Published online by Cambridge University Press:  02 January 2018

Alastair G. Cardno*
Affiliation:
Departments of Psychological Medicine and Medical Genetics, University of Wales College of Medicine, Cardiff
Pak C. Sham
Affiliation:
Departments of Psychological Medicine and Medical Genetics, University of Wales College of Medicine, Cardiff
Anne E. Farmer
Affiliation:
Departments of Psychological Medicine and Medical Genetics, University of Wales College of Medicine, Cardiff
Robin M. Murray
Affiliation:
Departments of Psychological Medicine and Medical Genetics, University of Wales College of Medicine, Cardiff
Peter McGuffin
Affiliation:
Institute of Psychiatry, London
*
Professor Peter McGuff in, Director and Professor of Psychiatric Genetics, Social Genetic and Developmental Psychiatry (SGDP) Research Centre, Institute of Psychiatry, Kings College London, De Crespigny Park, London SE5 8AF, UK. Tel: 020 7848 0871; Fax: 020 7848 0866; e-mail: p.mcguffin@iop.kcl.ac.uk
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Abstract

Background

Schneider's first-rank symptoms are given particular weight when making a diagnosis of schizophrenia, but the nuclear syndrome, characterised by one or more first-rank symptoms, has been found previously to have no heritability.

Aims

To estimate the heritability of the nuclear syndrome.

Method

A total of 224 twin pairs (106 monozygotic, 118 same-gender dizygotic) were ascertained from the Maudsley Twin Register in London via probands with any psychosis. Lifetime-ever first-rank symptoms were rated using the OPCRIT checklist. Probandwise concordance rates were calculated for the nuclear syndrome and a heritability estimate was derived from biometric model fitting.

Results

Probandwise concordance rates were 13/49 (26.5%) for monozygotic and 0/45 to 2/46 (0.0–4.3%) for dizygotic pairs. The heritability estimate for the best-fitting model was 71% (95% CI 57–82).

Conclusions

These results indicate that the nuclear syndrome shows substantial heritability, although this is slightly lower than that for schizophrenia as defined by the DSM and ICD systems.

Type
Papers
Copyright
Copyright © 2002 The Royal College of Psychiatrists 

First-rank symptoms (Reference Schneider and HamiltonSchneider, 1959) are given particular weight for making a diagnosis of schizophrenia in commonly used classification systems such as ICD-10 (World Health Organization, 1992) and DSM-IV (American Psychiatric Association, 1994). However, the value of first-rank symptoms has been questioned (Reference CrichtonCrichton, 1996), partly on the basis of a twin study (Reference McGuffin, Farmer and GottesmanMcGuffin et al, 1984) that found no heritability for the nuclear syndrome of schizophrenia, defined by the presence of one or more first-rank symptoms. In that study, McGuffin et al (Reference McGuffin, Farmer and Gottesman1984) re-analysed data from Gottesman & Shields' (Reference Gottesman and Shields1972) schizophrenia twin series derived from the Maudsley Hospital Twin Register in London. The probandwise concordance rate was 2/9 (22.2%) for monozygotic (MZ) twins and 2/4 (50.0%) for dizygotic (DZ) twins, suggesting no genetic effect. However, the sample size was small and was ascertained via probands with clinical schizophrenia, and first-rank symptoms also occur frequently in other psychoses (Reference Peralta and CuestaPeralta & Cuesta, 1999).

The aim of the current study was to determine probandwise concordance rates and to make a heritability estimate for a syndrome characterised by the presence of one or more first-rank symptoms in a systematically ascertained sample of twins with any psychosis. The sample came from the Maudsley Hospital Twin Register and therefore included that of Gottesman & Shields (Reference Gottesman and Shields1972) as a subsample.

METHOD

Subjects

The sample has been described in detail elsewhere (Reference Cardno, Jones and MurphyCardno et al, 1999b ). Briefly, probands were ascertained from the Maudsley Twin Register in London, as patients of multiple birth who had attended any facility of the Maudsley and Bethlem Royal Hospitals between 1948 and 1993, who had a same-gender co-twin surviving to adulthood, and who had suffered psychotic symptomatology (Reference Sartorius, Jablensky and KortenSartorius et al, 1986) or an episode of mania or hypomania defined according to research diagnostic criteria (RDC; Reference Spitzer, Endicott and RobinsSpitzeret al, 1978) at some time in their lives. Probands were excluded if they had a primary diagnosis of dementia or if psychotic symptoms occurred only during acute organic states. The 114 twins studied by Gottesman & Shields (Reference Gottesman and Shields1972) were included in the current sample. Of these, 107 were followed up for a further 25 years or until death, through information from hospital case notes and general practitioners. Of these twins, 31 were interviewed further.

Zygosity determination was carried out blind to research diagnosis and was based on all the available information, including analysis of genetic markers in 42% of pairs. Agreement between zygosity determination by genetic markers and by resemblance information was 95%.

The sample comprised 224 probandwise twin pairs (120 male and 104 female), from which 28 probands (12.5%) were doubly ascertained after checking for independence of ascertainment. A total of 197 (87.9%) pairs were White. The mean age of co-twins at last follow-up was 46.5 years (s.d.=15.4). There was no substantial ascertainment bias for zygosity (106 MZ and 118 same-gender DZ pairs), but the sample may have contained more severe cases than if we had ascertained via a population-based sample (Reference Cardno, Jones and MurphyCardno et al, 1999b ).

Clinical assessment

This was based on all available clinical information, which included a research interview (Gottesman & Shields' (Reference Gottesman and Shields1972) cued-questions interview and/or the Schedule for Affective Disorders and Schizophrenia — Lifetime version (SADS-L; Reference Spitzer and EndicottSpitzer & Endicott, 1978)) in 72.8% of probands and 59.4% of co-twins. Interviewed twins gave informed consent to be studied. Clinical ratings were made by separate assessors for each member of twin pairs concordant for psychosis.

For each subject, first-rank symptoms were rated on the OPCRIT checklist (Reference McGuffin, Farmer and HarveyMcGuffin et al, 1991), blind to the symptoms of the other twin, under the symptom categories of thought echo, third-person auditory hallucinations, running commentary voices, delusions of passivity, primary delusional perception, thought insertion, thought withdrawal and thought broadcast. Interrater reliability for rating the presence/ absence of first-rank symptoms was assessed on 30 cases. The mean kappa score between raters was 0.66.

Of the total, 94 probands were rated as having one or more first-rank symptoms: 57 (60.6%) were male and 37 (39.4%) were female. Probands had the following distribution of RDC main-lifetime diagnoses: schizophrenia, 67 (71.3%); schizoaffective disorder, 16 (17.0%); bipolar I disorder, 5 (5.3%); depressive psychosis, 3 (3.2%); and unspecified functional psychosis, 3 (3.2%).

In the whole sample of 224 probands, the frequency of probands having first-rank symptoms in each RDC main-lifetime diagnostic category was as follows: schizophrenia, 67/106 (63.2%); schizoaffective disorder, 16/33 (48.5%); bipolar I disorder, 5/27 (18.5%); bipolar II disorder, 0/4 (0.0%); depressive psychosis, 3/20 (15.0%); unspecified functional psychosis, 3/32 (9.4%); and other, 0/2 (0.0%).

Statistical analysis

Probandwise concordance rates for MZ and DZ pairs were calculated for a nuclear syndrome characterised by the presence of one or more first-rank symptoms. The population lifetime morbid risk for the nuclear syndrome was estimated as described previously (Reference Cardno, Jones and MurphyCardnoet al, 1999b ), based on data from the Camber-well Case Register and the twin series of Gottesman & Shields (Reference Gottesman and Shields1972), and was 0.73% (95% CI 0.57-0.99). In case of any inaccuracy in the morbid risk estimate, the analysis was performed for the actual estimate (0.73%) and also for the upper extreme of the 95% confidence interval (0.99%) (because heritability estimates tend to decrease as morbid risk estimates increase).

The Mx program (Reference NealeNeale, 1999) was used to calculate correlations in liability for the nuclear syndrome. These are tetrachoric correlations, based on a liability-threshold model (Reference FalconerFalconer, 1965), that make use of concordance rates and estimates of morbid risk. The Mx program was used also for biometric model fitting. Five models were fitted, differing in the parameters that were assumed to contribute variance in liability to the nuclear syndrome: individual specific environmental variance only (E model); common and specific environmental variance (CE model); additive genetic and specific environmental variance (AE model); additive genetic, common and specific environmental variance (ACE model); and additive genetic, genetic dominance and specific environmental variance (ADE model). Nested models were compared using the χ2 difference test. Where there was no significant difference the best-fitting model was determined on grounds of parsimony, those models with fewer parameters being preferred.

RESULTS

The probandwise concordance rate for the nuclear syndrome was 13/49 (26.5%) for MZ twins and 0/45 (0.0%) for DZ twins. For the subsample investigated previously by McGuffin et al (Reference McGuffin, Farmer and Gottesman1984) the concordance rates were 3/14 (21.4%) for MZ twins and 0/12 (0.0%) for DZ twins (compared with 2/9 (22.2%) and 2/4 (50.0%), respectively, in that study). Thus, the further follow-up of this subsample and increased focus on first-rank symptoms in the follow-up SADS-L interviews and case-note reviews resulted in more of the previously studied twins being rated as having one or more first-rank symptoms (26 probands in the current study compared with 13 in the previous study). The MZ concordance rate remained very similar 21.4% v. 22.2%) but the DZ concordance rate was notably lower in the current study (0.0% v. 50.0%). The two concordant DZ pairs in the study of McGuffin et al (Reference McGuffin, Farmer and Gottesman1984) were derived from one doubly ascertained pair. In Gottesman & Shields' (Reference Gottesman and Shields1972) published vignette of this pair (DZ 7), twin A is described as having delusions of gender changes, as saying “the devil set me up in the corner” and that she was experimented on by evolutionary scientists. Twin B is described as thinking she could feel her face changing and having “somatic delusions; arm twisted…changing into a man” (although the account of her history used for the current study does not mention her arm being twisted). Even if these twins are regarded as having first-rank symptoms, the DZ concordance rate (2/46, 4.3%) remains considerably lower than the MZ concordance rate, and the correlations in liability have non-overlapping 95% confidence intervals: MZ correlation 0.72 (0.58-0.83); DZ correlation 0.29 (0.00-0.53).

The results of biometric model fitting for the nuclear syndrome, assuming a DZ concordance rate of 2/46, are shown in Table 1. The models of individual specific environmental factors explaining all of the variance in liability (E) and of common plus specific environmental variance (CE) could be rejected by the χ2 difference test compared with the models of additive genetic, common environmental and specific environmental variance (ACE) and additive genetic, genetic dominance and specific environmental variance (ADE). However, the model of additive genetic and specific environmental variance (AE) could not be rejected compared with the ACE and ADE models, and on grounds of parsimony was the best-fitting model. The ACE and ADE models could not be rejected formally; however, under the ACE model the additive genetic variance (a 2) remained the same (0.72 or 71%) and common environmental variance (c 2) was estimated as zero. Also, under the ADE model a 2 was 0.43 and variance due to genetic dominance (d 2) was 0.29, so the total genetic variance remained similar at 0.72 or 72%.

Table 1 Results of biometric model fitting for the nuclear syndrome

Fit of models in χ2units Parameter estimates of best-fitting model (95% confidence interval)
E (d.f.=2) CE (d.f.=1) AE (d.f.=1) ACE (d.f.=0) ADE (d.f.=0) a2 e2
75.54 9.72 0.28 1 0.28 0.00 0.71 (0.57-0.82) 0.29 (0.18-0.43)

Similar results were obtained when the morbid risk estimate for the nuclear syndrome was increased to 0.99% (the upper extreme of the 95% CI for the morbid risk). The AE model was best fitting (χ2=0.51, d.f.=1,P=0.48), with a 2=0.69 (95% CI 0.54-0.81) ande 2=0.31 (95% CI 0.19-0.46). The results also remained similar, assuming a DZ concordance of 0/45 (and a morbid risk of 0.73%). The AE model again was best fitting, with a 2=0.69 (95% CI 0.54-0.81) and e 2=0.31 (95% CI 0.19-0.46); however, in this case the model fitted less well (χ2=5.55, d.f.=1,P=0.02), probably because of the zero concordance rate for DZ pairs.

DISCUSSION

Nuclear syndrome defined by first-rank symptoms is heritable

The results of this study are compatible with a genetic contribution to variance in liability to the nuclear syndrome, characterised by the presence of one or more first-rank symptoms of schizophrenia. The concordance rates and correlations in liability were greater in MZ than DZ twins, and biometric models that did not include a genetic component (E and CE) could be rejected formally. We conclude that the previous finding of a greater concordance rate in DZ than MZ twins in a subsample of the current sample (Reference McGuffin, Farmer and GottesmanMcGuffin et al, 1984) probably was an artefact. This was overcome in the current study by increasing the sample size, following up the twins for longer and performing follow-up interviews (SADS-L) and case-note reviews that focused more on first-rank symptoms.

Comparison with other definitions of schizophrenia

The heritability estimate of 71% (95% CI 57-82) is substantial but somewhat lower than heritability estimates based on the same sample for schizophrenia defined according to RDC (82%, 95% CI 71-90), DSM-III-R (American Psychiatric Association, 1987) (84%, 95% CI 19-92) and ICD-10 (83%, 95% CI 7-91) criteria (Reference Cardno, Jones and MurphyCardno et al, 1999b ). However, the confidence intervals for all these heritability estimates overlap. Indeed, it can be argued that the true confidence intervals for our estimate of heritability should be even larger because we explored a range of population frequencies without allowing for error, and our interrater agreement, although good with a mean kappa of 0.66, was not perfect.

Familial aggregation

It should be noted that the current study takes a different approach from those that have investigated the familial aggregation of first-rank symptoms in pairs of siblings (Cardno et al, Reference Cardno, Jones and Murphy1998, Reference Cardno, Marshall and Coid1999a ; Loftus et al, Reference Loftus, DeLisi and Crow1998, Reference Loftus, DeLisi and Crow2000) or twins (details available from the author upon request) that are concordant for schizophrenia or other psychoses. These studies generally have found only very modest familial aggregation of first-rank symptoms within pairs of relatives who both have psychosis. In addition, the presence of first-rank symptoms in individuals with schizophrenia or other psychoses has not been found to predict the risk of psychoses in their relatives (Reference Cardno, Holmans and HarveyCardno et al, 1997), including co-twins from the current sample (details available from the author upon request). Therefore, first-rank symptoms do not appear to be useful indicators of the level of genetic liability to psychoses in affected individuals. However, as the current study shows, a syndrome defined by the presence or absence of first-rank symptoms (where absence of first-rank symptoms includes individuals unaffected by psychosis) may have substantial heritability. It appears, from a genetic point of view, that first-rank symptoms (and other positive psychotic symptoms) are fairly non-specific epiphenomena of general psychotic processes. If so, other combinations of psychotic symptoms, or individual symptoms, might well also show evidence of heritability.

Implications for molecular genetic studies

The question remains whether the nuclear syndrome is likely to provide a useful phenotypic definition for molecular genetic studies of schizophrenia. Given that there are other operational definitions of schizophrenia that show trends towards higher heritabilities, and that first-rank symptoms do not appear to be markers of particularly high genetic liability to schizophrenia, the answer probably is no.

Clinical Implications and Limitations

CLINICAL IMPLICATIONS

  1. This study provides evidence of a genetic contribution to the aetiology of the nuclear syndrome, defined by the presence of one or more first-rank symptoms of schizophrenia.

  2. The heritability of the nuclear syndrome is approximately 70%.

  3. The heritability of the nuclear syndrome is slightly lower than that of RDC, DSM-III-R and ICD-10 schizophrenia (although the confidence intervals for each definition of schizophrenia overlap).

LIMITATIONS

  1. The sample probably contained more severe cases than if ascertainment had been population-based.

  2. Shared environmental and genetic dominance effects were not present in the best-fitting model, but could not be excluded formally.

  3. Although most twins received one or more research interviews, some ratings of first-rank symptoms were based on retrospective assessments of case records.

Acknowledgements

The National Institute of Mental Health (MH44359) and the Stanley Foundation provided grant support that enabled collection of the clinical data. The authors thank Jane Marshall, Bina Coid, Alison Macdonald, Tracy Ribchester, Nadia Davies, Piero Venturi, Lisa Jones, Shôn Lewis, Irving Gottesman and Adrianne Reveley for their work on this study.

Footnotes

Declaration of interest None. Funding from the National Institute of Mental Health and the Stanley Foundation.

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Figure 0

Table 1 Results of biometric model fitting for the nuclear syndrome

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