Diagnostic accuracy and confusability analyses: an application to the Diagnostic Interview for Genetic Studies

Polygenic burden could explain high rates of affective disorders in a community with restricted founder population

This study investigates if genetic factors could contribute to the high rate of mood disorders reported in a U.S. community known to have a restricted early founder population (confirmed here through runs of homozygosity analysis). Polygenic scores (PGSs) for eight common diseases, disorders, or traits, including psychiatric disorders, were calculated in 274 participants (125 mood disorder cases) who each reported three or four grandparents born in the community. Ancestry-matched controls were selected from the UK Biobank (UKB; three sets of N = 1,822 each). The mean PGSs were significantly higher in the community for major depression PRS (p = 2.1 × 10^-19 , 0.56 SD units), bipolar disorder (p = 2.5 × 10^-15 , 0.56 SD units), and schizophrenia (p = 3.8 × 10^-21 , 0.64 SD units). The PGSs were not significantly different between the community participants and UKB controls for the traits of body mass index, Type 2 diabetes, coronary artery disease, and chronotype. The mean PGSs for height were significantly lower in the community sample compared to controls (-0.21 SD units, p = 1.2 × 10^-5 ). The results are consistent with enrichment of polygenic risk factors for psychiatric disorders in this community.

Accuracy of register-based schizophrenia diagnoses in a genetic study

In order to assess the accuracy of schizophrenia diagnoses for genetic studies, we identified all schizophrenia patients (n = 492) in an isolated community with a diagnosis of schizophrenia in the Finnish Hospital Discharge Register (HDR) between 1969-1991. For the accuracy study we identified a sample of 73 patients from registers with Diagnostic and Statistical Manual (DSM)-III-R for schizophrenia (codes 295.10, 295.30, 295.60, 295.90) (n = 62) or “schizophrenia spectrum” diagnoses (295.40, 295.70, 297.10, 301.20, 301.22) (n = 11). When the operational criteria (DSM-III-R) were applied by two senior researchers using information from the original mental hospital records, 93% (68/73) of the cases fulfilled criteria for schizophrenia or schizophrenia spectrum. The results demonstrate that the schizophrenia diagnoses of the registers are accurate when a broad concept of schizophrenia is applied. When using operational DSM-III-R schizophrenia criteria, eight false positive cases were found among the 62 mental hospital schizophrenia diagnoses. Consequently, there may be a need to reassess schizophrenia diagnoses depending on the purpose of the study. We also found good agreement between DSM-III-R (kappa 0.93) and operational criteria (OPCRIT) diagnostic system (kappa 0.89) diagnoses, made by one researcher, compared with operational diagnoses. This indicates the possibility for the reliable use of one of these methods alone for diagnostic reassessment. The information in the HDR on primary diagnoses and on the dates of admission and discharge was accurately transferred from the hospital records.

Diagnostic Interview for Genetic Studies (DIGS): Inter-rater and test-retest reliability and validity in a Spanish population

Objective

To test the reliability and validity of the DIGS in Spanish population.

Methods

Inter-rater and test-retest reliability of the Spanish version of DIGS was tested in 95 inpatients and outpatients. The resultant diagnoses were compared with diagnoses obtained by the LEAD (Longitudinal Expert All Data) procedure as “gold standard”. The kappa statistic was used to measure concordance between blind inter-raters and between the diagnoses obtained by LEAD procedure and through the DIGS.

Results

Overall kappa coefficient for inter-rater reliability was 0.956. The kappa value for individual diagnosis varied from major depression = 0.877 to schizophrenia = 1. Test-retest reliability was 0.926. Kappa for all individual target diagnoses ranged from 0.776 (major depression) to 1. Kappa between LEAD procedure and DIGS ranged from 0.704 (major depression) to 0.825 (bipolar I disorder).

Conclusion

Most of the DSM-IV major psychiatric disorders can be assessed with acceptable to excellent reliability with the Spanish version of the DIGS interview. The Spanish version of DIGS showed an acceptable to excellent concurrent validity. Giving the good reliability and validity of Spanish version of DIGS it should be considered to identify psychiatric phenotypes for genetics studies.

Relative importance of symptoms, cognition, and other multilevel variables for psychiatric disease classifications by machine learning

This study used machine-learning algorithms to make unbiased estimates of the relative importance of various multilevel data for classifying cases with schizophrenia (n = 60), schizoaffective disorder (n = 19), bipolar disorder (n = 20), unipolar depression (n = 14), and healthy controls (n = 51) into psychiatric diagnostic categories. The Random Forest machine learning algorithm, which showed best efficacy (92.9% SD: 0.06), was used to generate variable importance ranking of positive, negative, and general psychopathology symptoms, cognitive indexes, global assessment of function (GAF), and parental ages at birth for sorting participants into diagnostic categories. Symptoms were ranked most influential for separating cases from healthy controls, followed by cognition and maternal age. To separate schizophrenia/schizoaffective disorder from bipolar/unipolar depression, GAF was most influential, followed by cognition and paternal age. For classifying schizophrenia from all other psychiatric disorders, low GAF and paternal age were similarly important, followed by cognition, psychopathology and maternal age. Controls misclassified as schizophrenia cases showed lower nonverbal abilities, mild negative and general psychopathology symptoms, and younger maternal or older paternal age. The importance of symptoms for classification of cases and lower GAF for diagnosing schizophrenia, notably more important and distinct from cognition and symptoms, concurs with current practices. The high importance of parental ages is noteworthy and merits further study.

The role of polygenic risk score gene-set analysis in the context of the omnigenic model of schizophrenia

A recent development in the genetic architecture of schizophrenia suggested that an omnigenic model may underlie the risk for this disorder. The aim of our study was to use polygenic profile scoring to quantitatively assess whether a number of experimentally derived sets would contribute to the disorder above and beyond the omnigenic effect. Using the PGC2 secondary analysis schizophrenia case-control cohort (N = 29,125 cases and 34,836 controls), a robust polygenic signal was observed from gene sets based on TCF4, FMR1, upregulation from MIR137 and downregulation from CHD8. Additional analyses revealed a constant floor effect in the amount of variance explained, consistent with the omnigenic model. Thus, we report that putative core gene sets showed a significant effect above and beyond the floor effect that might be linked with the underlying omnigenic background. In addition, we demonstrate a method to quantify the contribution of specific gene sets within the omnigenic context.

Depression and schizophrenia

Depressive symptoms commonly occur in schizophrenia and have a significant impact on the distress and burden of the illness. Yet they are often overlooked, inadequately characterised by current classification systems and not consistently integrated into treatment. We discuss nosology, practical and clinical implications of symptom differentiation, and the role of causal and confounding factors, including iatrogenic, as targets for therapeutic intervention. The evidence base of psychosocial and psychotropic management is reviewed, with recommendations for the treatment of established syndromal depression in people with schizophrenia.

Olfactory Neuroepithelial Neural Progenitor Cells from Subjects with Bipolar I Disorder

Background:

Research into the pathophysiology of bipolar disorder (BD) is limited by the inability to examine brain cellular processes in subjects with the illness.

Methods:

Endoscopic biopsy was performed in subjects with bipolar I disorder to establish olfactory neural progenitor (ONP) cell lines. Olfactory function was assessed prebiopsy and postbiopsy using the University of Pennsylvania Smell Identification Test (UPSIT). Cells were characterized to determine their lineage.

Results:

There were no significant complications associated with the biopsy procedure, including olfaction. Outpatient olfactory neuroepithelial biopsy yielded ONP cells in three out of 13 biopsy attempts (23.1%). ONPs were positive for neuron-specific proteins (β-tubulin III, nestin, hexaribonucleotide binding protein-3, and peripherin) and glia-specific proteins (glial fibrillary acidic protein and myelin basic protein).

Conclusions:

ONP cells can be obtained safely from awake outpatients and are potentially useful for pathophysiological studies of bipolar illness and perhaps other neuropsychiatric conditions. Such cells allow for the investigation of potential pathological cellular processes without the confounding factors of genetic manipulation, which is required for induced pluripotent cells.

Abnormal interactions of verbal- and spatial-memory networks in young people at familial high-risk for schizophrenia

BACKGROUND

Working memory impairment (especially in verbal and spatial domains) is the core neurocognitive impairment in schizophrenia and the familial high-risk (FHR) population. Inconsistent results have been reported in clinical and neuroimaging studies examining the verbal- and spatial-memory deficits in the FHR subjects, due to sample differences and lack of understanding on interactions of the brain regions for processing verbal- and spatial-working memory.

METHODS

Functional MRI data acquired during a verbal- vs. spatial-memory task were included from 51 young adults [26 FHR and 25 controls]. Group comparisons were conducted in brain activation patterns responding to 1) verbal-memory condition (A), 2) spatial-memory condition (B), 3) verbal higher than spatial (A-B), 4) spatial higher than verbal (B-A), 5) conjunction of brain regions that were activated during both A and B (A∧B). Group difference of the laterality index (LI) in inferior frontal lobe for condition A was also assessed.

RESULTS

Compared to controls, the FHR group exhibited significantly decreased brain activity in left inferior frontal during A, and significantly stronger involvement of ACC, PCC, paracentral gyrus for the contrast of A-B. The LI showed a trend of reduced left-higher-than-right pattern for verbal-memory processing in the HR group.

CONCLUSIONS

Our findings suggest that in the entire functional brain network for working-memory processing, verbal information processing associated brain pathways are significantly altered in people at familial high risk for developing schizophrenia. Future studies will need to examine whether these alterations may indicate vulnerability for predicting the onset of Schizophrenia.

The gene BRAF is underexpressed in bipolar subject olfactory neuroepithelial progenitor cells undergoing apoptosis

BACKGROUND

Bipolar disorder is a devastating psychiatric condition that frequently results in various degrees of brain tissue loss, cognitive decline, and premature death. The documentation of brain tissue loss implicates apoptosis as the likely underlying degenerative process, but direct experimental demonstration is lacking.

METHODS

Olfactory neuroepithelial biopsies from individuals with and without bipolar I disorder yielded olfactory neuroepithelial progenitor cells (ONPs), which spontaneously differentiate into neurons and glia. Glutamate, 0.1M, for 3 and 6h was used to induce apoptosis. Genes involved in the apoptotic pathway were interrogated with micro-array analysis before and after glutamate treatment for 6h. Confirmation was accomplished with real-time PCR. Total and phospho-B-Raf protein levels were measured using Western blot analysis.

RESULTS

ONPs from bipolar individuals demonstrated significantly greater apoptosis than cells from non-bipolar subjects. Microarray results revealed 12 differentially expressed genes. Five genes were further examined. BRAF mRNA and protein levels were significantly reduced in bipolar ONPs.

CONCLUSIONS

ONPs with the genetic heritage of bipolar I disorder were more sensitive to glutamate induced apoptosis. Under expression of the BRAF gene and protein, which plays a role in regulating the pro-survival MEK/ERK signaling pathway, may contribute to this apoptotic sensitivity.

Test-retest reliability of schizoaffective disorder compared with schizophrenia, bipolar disorder, and unipolar depression--a systematic review and meta-analysis

OBJECTIVES

Schizoaffective disorder is a frequent diagnosis, and its reliability is subject to ongoing discussion. We compared the diagnostic reliability of schizoaffective disorder with its main differential diagnoses.

METHODS

We systematically searched Medline, Embase, and PsycInfo for all studies on the test-retest reliability of the diagnosis of schizoaffective disorder as compared with schizophrenia, bipolar disorder, and unipolar depression. We used meta-analytic methods to describe and compare Cohen's kappa as well as positive and negative agreement. In addition, multiple pre-specified and post hoc subgroup and sensitivity analyses were carried out.

RESULTS

Out of 4,415 studies screened, 49 studies were included. Test-retest reliability of schizoaffective disorder was consistently lower than that of schizophrenia (in 39 out of 42 studies), bipolar disorder (27/33), and unipolar depression (29/35). The mean difference in kappa between schizoaffective disorder and the other diagnoses was approximately 0.2, and mean Cohen's kappa for schizoaffective disorder was 0.50 (95% confidence interval: 0.40-0.59). While findings were unequivocal and homogeneous for schizoaffective disorder's diagnostic reliability relative to its three main differential diagnoses (dichotomous: smaller versus larger), heterogeneity was substantial for continuous measures, even after subgroup and sensitivity analyses.

CONCLUSIONS

In clinical practice and research, schizoaffective disorder's comparatively low diagnostic reliability should lead to increased efforts to correctly diagnose the disorder.

Validation of electronic health record phenotyping of bipolar disorder cases and controls

OBJECTIVE

The study was designed to validate use of electronic health records (EHRs) for diagnosing bipolar disorder and classifying control subjects.

METHOD

EHR data were obtained from a health care system of more than 4.6 million patients spanning more than 20 years. Experienced clinicians reviewed charts to identify text features and coded data consistent or inconsistent with a diagnosis of bipolar disorder. Natural language processing was used to train a diagnostic algorithm with 95% specificity for classifying bipolar disorder. Filtered coded data were used to derive three additional classification rules for case subjects and one for control subjects. The positive predictive value (PPV) of EHR-based bipolar disorder and subphenotype diagnoses was calculated against diagnoses from direct semistructured interviews of 190 patients by trained clinicians blind to EHR diagnosis.

RESULTS

The PPV of bipolar disorder defined by natural language processing was 0.85. Coded classification based on strict filtering achieved a value of 0.79, but classifications based on less stringent criteria performed less well. No EHR-classified control subject received a diagnosis of bipolar disorder on the basis of direct interview (PPV=1.0). For most subphenotypes, values exceeded 0.80. The EHR-based classifications were used to accrue 4,500 bipolar disorder cases and 5,000 controls for genetic analyses.

CONCLUSIONS

Semiautomated mining of EHRs can be used to ascertain bipolar disorder patients and control subjects with high specificity and predictive value compared with diagnostic interviews. EHRs provide a powerful resource for high-throughput phenotyping for genetic and clinical research.

The impact of clinical heterogeneity in schizophrenia on genomic analyses

Though clinically useful, the diagnostic systems currently employed are not well equipped to capture the substantial clinical heterogeneity observed for most psychiatric disorders, as exemplified by the complex psychotic disorder(s) that Bleuler aptly labeled the "Group of Schizophrenias". The clinical heterogeneity associated with schizophrenia has likely frustrated decades of attempts to illuminate the underlying genetic architecture, although recent genome-wide association studies have begun to provide valuable insight into the role of common genetic risk variants. Here we demonstrate the importance of using diagnostic information to identify a core form of the disorder and to eliminate potential comorbidities in genetic studies. We also demonstrate why applying a diagnostic screening procedure to the control dataset to remove individuals with potentially related disorders is critical. Additionally, subjects may participate in multiple studies at different institutions or may have genotype data released by more than one research group. It is thus good practice to verify that no identical subjects exist within or between samples prior to conducting any type of genetic analysis to avoid potential confounding of results. While the availability of genomic data for large collections of subjects has facilitated many investigations that would otherwise not have been possible, we clearly show why one must use caution when acquiring data from publicly available sources. Although the broad vs. narrow debate in terms of phenotype definition in genetic analyses will remain, it is likely that both approaches will yield different results and that both will have utility in resolving the genetic architecture of schizophrenia.

Specificity of psychosis, mania and major depression in a contemporary family study

There has been increasing attention to the subgroups of mood disorders and their boundaries with other mental disorders, particularly psychoses. The goals of the present paper were (1) to assess the familial aggregation and co-aggregation patterns of the full spectrum of mood disorders (that is, bipolar, schizoaffective (SAF), major depression) based on contemporary diagnostic criteria; and (2) to evaluate the familial specificity of the major subgroups of mood disorders, including psychotic, manic and major depressive episodes (MDEs). The sample included 293 patients with a lifetime diagnosis of SAF disorder, bipolar disorder and major depressive disorder (MDD), 110 orthopedic controls, and 1734 adult first-degree relatives. The diagnostic assignment was based on all available information, including direct diagnostic interviews, family history reports and medical records. Our findings revealed specificity of the familial aggregation of psychosis (odds ratio (OR)=2.9, confidence interval (CI): 1.1-7.7), mania (OR=6.4, CI: 2.2-18.7) and MDEs (OR=2.0, CI: 1.5-2.7) but not hypomania (OR=1.3, CI: 0.5-3.6). There was no evidence for cross-transmission of mania and MDEs (OR=.7, CI:.5-1.1), psychosis and mania (OR=1.0, CI:.4-2.7) or psychosis and MDEs (OR=1.0, CI:.7-1.4). The strong familial specificity of psychotic, manic and MDEs in this largest controlled contemporary family study challenges the growing assertion that the major types of mood disorders are manifestations of a common underlying diathesis.

Heterogeneity of schizophrenia: Genetic and symptomatic factors

Schizophrenia may have etiological heterogeneity, and may reflect common symptomatology caused by many genetic and environmental factors. In this review, we show the potential existence of heterogeneity in schizophrenia based on the results of our previous studies. In our study of the NOTCH4 gene, there were no significant associations between any single nucleotide polymorphisms (SNPs) of NOTCH4 and schizophrenia. However, exploratory analyses suggested that the SNP, rs3134928 may be associated with early-onset schizophrenia, and that rs387071 may be associated with schizophrenia characterized by negative symptoms. In our highly familial schizophrenia study, the African-American cohort without environmental exposure showed a possible linkage at marker 8p23.1 in the dominant model and in the European-American cohort, a marker at 22q13.32 showed a probable linkage in the recessive model. In the less familial schizophrenia families, these linkages were not shown. Based on our eye movement study, a putative subtype of schizophrenia with severe symptoms related to excitement/hostility, negative symptoms and disorganization may be associated with chromosome 22q11. We consider that a sample stratification approach may clarify the heterogeneity of schizophrenia. Therefore, this approach may lead to a more straightforward way of identifying susceptibility genes of schizophrenia.

Heterogeneity of schizoaffective disorder compared with schizophrenia and bipolar disorder

OBJECTIVE

Low diagnostic reliability, the need to meet criteria of two disorders, and its status as residual diagnosis in clinical practice led us to hypothesize that schizoaffective disorder (SAD) is characterized by considerable heterogeneity, particularly in comparison with schizophrenia (SZ) and bipolar disorder (BD). As this has not been investigated the aim of this study is to test whether heterogeneity is larger in SAD than in SZ and BD.

METHOD

Systematic search for studies simultaneously comparing all three diagnoses regarding demographic, clinical, psychometric (clinical rating scales and IQ tests), and biological parameters; comparison of heterogeneity as measured by standard deviation (SD).

RESULTS

Standard deviation of SAD samples (N = 47) was smaller than in both differential diagnoses. SDs were 7% higher in BD than in SAD (SZ: 2% higher); in studies employing DSM-IIIR/-IV pooled SD was 4% higher in BD (8% lower in SZ). Differences between diagnoses were limited to the comparison of SAD and BD, and became smaller when only psychotic BD was considered.

CONCLUSION

Heterogeneity of SZ and BD is not smaller than that of SAD. SAD seems not to be more diverse than other functional psychoses. Results are preliminary because of the novelty of the approach and to the small number of studies.

Schizoaffective Disorder in the DSM-5

Characterization of patients with both psychotic and mood symptoms, either concurrently or at different points during their illness, has always posed a nosological challenge and this is reflected in the poor reliability, low diagnostic stability, and questionable validity of DSM-IV Schizoaffective Disorder. The clinical reality of the frequent co-occurrence of psychosis and Mood Episodes has also resulted in over-utilization of a diagnostic category that was originally intended to only rarely be needed. In the Diagnostic and Statistical Manual of Mental Disorders, fifth edition, an effort is made to improve reliability of this condition by providing more specific criteria and the concept of Schizoaffective Disorder shifts from an episode diagnosis in DSM-IV to a life-course of the illness in DSM-5. When psychotic symptoms occur exclusively during a Mood Episode, DSM-5 indicates that the diagnosis is the appropriate Mood Disorder with Psychotic Features, but when such a psychotic condition includes at least a two-week period of psychosis without prominent mood symptoms, the diagnosis may be either Schizoaffective Disorder or Schizophrenia. In the DSM-5, the diagnosis of Schizoaffective Disorder can be made only if full Mood Disorder episodes have been present for the majority of the total active and residual course of illness, from the onset of psychotic symptoms up until the current diagnosis. In earlier DSM versions the boundary between Schizophrenia and Schizoaffective Disorder was only qualitatively defined, leading to poor reliability. This change will provide a clearer separation between Schizophrenia with mood symptoms from Schizoaffective Disorder and will also likely reduce rates of diagnosis of Schizoaffective Disorder while increasing the stability of this diagnosis once made.

Examining the nature of the association between attention-deficit hyperactivity disorder and nicotine dependence: a familial risk analysis

OBJECTIVE

To use familial risk analysis to examine the association between attention-deficit hyperactivity disorder (ADHD) and nicotine dependence (ND).

METHOD

Subjects were children with (n = 257) and without (n = 229) ADHD of both sexes ascertained from pediatric and psychiatric referral sources and their first-degree relatives (N = 1627).

RESULTS

ND in probands increased the risk for ND in relatives irrespective of ADHD status. There was no evidence of cosegregation or assortative mating between these disorders. Patterns of familial risk analysis suggest that the association between ADHD and ND is most consistent with the hypothesis of independent transmission of these disorders.

CONCLUSIONS

These findings may have important implications for the identification of a subgroup of children with ADHD at high risk for ND based on parental history of ND.

Dysfunctional attitudes and expectancies in deficit syndrome schizophrenia

The deficit syndrome was proposed over 20 years ago as a separate negative symptom syndrome within schizophrenia with a distinct neurobiological pathophysiology and etiology. Recent research, however, has indicated that psychological factors such as negative attitudes and expectancies are significantly associated with the broad spectrum of negative symptoms. Specifically, defeatist beliefs regarding performance mediate between neurocognitive impairment and both negative symptoms and functional outcome. Additionally, asocial beliefs predict asocial behavior and negative expectancies regarding future pleasure are associated with negative symptoms. The present study explored whether these dysfunctional beliefs and negative expectancies might also be a feature of the deficit syndrome. Based on a validated proxy method, 22 deficit and 72 nondeficit patients (from a pool of 139 negative symptom patients) were identified and received a battery of symptom, neurocognitive, and psychological measures. The deficit group scored significantly worse on measures of negative symptoms, insight, emotion recognition, defeatist attitudes, and asocial beliefs but better on measures of depression, anxiety, and distress than the nondeficit group. Moreover, the deficit group showed a trend for higher scores on self-esteem. Based on these findings, we propose a more comprehensive formulation of deficit schizophrenia, characterized by neurobiological factors and a cluster of psychological attributes that lead to withdrawal and protect the self-esteem. Although the patients have apparently opted-out of participation in normal activities, we suggest that a psychological intervention that targets these negative attitudes might improve their functioning and quality of life.

Genome-wide association study of multiplex schizophrenia pedigrees

OBJECTIVE

The authors used a genome-wide association study (GWAS) of multiply affected families to investigate the association of schizophrenia to common single-nucleotide polymorphisms (SNPs) and rare copy number variants (CNVs).

METHOD

The family sample included 2,461 individuals from 631 pedigrees (581 in the primary European-ancestry analyses). Association was tested for single SNPs and genetic pathways. Polygenic scores based on family study results were used to predict case-control status in the Schizophrenia Psychiatric GWAS Consortium (PGC) data set, and consistency of direction of effect with the family study was determined for top SNPs in the PGC GWAS analysis. Within-family segregation was examined for schizophrenia-associated rare CNVs.

RESULTS

No genome-wide significant associations were observed for single SNPs or for pathways. PGC case and control subjects had significantly different genome-wide polygenic scores (computed by weighting their genotypes by log-odds ratios from the family study) (best p=10(-17), explaining 0.4% of the variance). Family study and PGC analyses had consistent directions for 37 of the 58 independent best PGC SNPs (p=0.024). The overall frequency of CNVs in regions with reported associations with schizophrenia (chromosomes 1q21.1, 15q13.3, 16p11.2, and 22q11.2 and the neurexin-1 gene [NRXN1]) was similar to previous case-control studies. NRXN1 deletions and 16p11.2 duplications (both of which were transmitted from parents) and 22q11.2 deletions (de novo in four cases) did not segregate with schizophrenia in families.

CONCLUSIONS

Many common SNPs are likely to contribute to schizophrenia risk, with substantial overlap in genetic risk factors between multiply affected families and cases in large case-control studies. Our findings are consistent with a role for specific CNVs in disease pathogenesis, but the partial segregation of some CNVs with schizophrenia suggests that researchers should exercise caution in using them for predictive genetic testing until their effects in diverse populations have been fully studied.

Runs of homozygosity implicate autozygosity as a schizophrenia risk factor

Autozygosity occurs when two chromosomal segments that are identical from a common ancestor are inherited from each parent. This occurs at high rates in the offspring of mates who are closely related (inbreeding), but also occurs at lower levels among the offspring of distantly related mates. Here, we use runs of homozygosity in genome-wide SNP data to estimate the proportion of the autosome that exists in autozygous tracts in 9,388 cases with schizophrenia and 12,456 controls. We estimate that the odds of schizophrenia increase by ~17% for every 1% increase in genome-wide autozygosity. This association is not due to one or a few regions, but results from many autozygous segments spread throughout the genome, and is consistent with a role for multiple recessive or partially recessive alleles in the etiology of schizophrenia. Such a bias towards recessivity suggests that alleles that increase the risk of schizophrenia have been selected against over evolutionary time.

Bipolar Disorder and the TCI: Higher Self-Transcendence in Bipolar Disorder Compared to Major Depression

Personality traits are potential endophenotypes for genetic studies of psychiatric disorders. One personality theory which demonstrates strong heritability is Cloninger's psychobiological model measured using the temperament and character inventory (TCI). 277 individuals who completed the TCI questionnaire as part of the South Island Bipolar Study were also interviewed to assess for lifetime psychiatric diagnoses. Four groups were compared, bipolar disorder (BP), type 1 and 2, MDD (major depressive disorder), and nonaffected relatives of a proband with BP. With correction for mood state, total harm avoidance (HA) was higher than unaffected in both MDD and BP groups, but the mood disorder groups did not differ from each other. However, BP1 individuals had higher self-transcendence (ST) than those with MDD and unaffected relatives. HA may reflect a trait marker of mood disorders whereas high ST may be specific to BP. As ST is heritable, genes that affect ST may be of relevance for vulnerability to BP.

The role of complex emotions in inconsistent diagnoses of schizophrenia

In the case of large-scale epidemiological studies, there is evidence of substantial disagreement when lay diagnoses of schizophrenia based on structured interviews are compared with expert diagnoses of the same patients. Reasons for this level of disagreement are investigated in the current study, which made use of advances in text-mining techniques and associated structural representations of language expressions. Specifically, the current study examined whether content analyses of transcribed diagnostic interviews obtained from 150 persons with serious psychiatric disorders yielded any discernable patterns that correlated with diagnostic inconsistencies of schizophrenia. In summary, it was found that the patterning or structure of spontaneous self-reports of emotion states in the diagnostic interview was associated with diagnostic inconsistencies of schizophrenia, irrespective of confounders; i.e., age of patient, gender, or ethnicity. In particular, complex emotion patterns were associated with greater disagreement between experts and trained lay interviewers than were simpler patterns.

Genomewide linkage scan of schizophrenia in a large multicenter pedigree sample using single nucleotide polymorphisms

A genomewide linkage scan was carried out in eight clinical samples of informative schizophrenia families. After all quality control checks, the analysis of 707 European-ancestry families included 1615 affected and 1602 unaffected genotyped individuals, and the analysis of all 807 families included 1900 affected and 1839 unaffected individuals. Multipoint linkage analysis with correction for marker-marker linkage disequilibrium was carried out with 5861 single nucleotide polymorphisms (SNPs; Illumina version 4.0 linkage map). Suggestive evidence for linkage (European families) was observed on chromosomes 8p21, 8q24.1, 9q34 and 12q24.1 in nonparametric and/or parametric analyses. In a logistic regression allele-sharing analysis of linkage allowing for intersite heterogeneity, genomewide significant evidence for linkage was observed on chromosome 10p12. Significant heterogeneity was also observed on chromosome 22q11.1. Evidence for linkage across family sets and analyses was most consistent on chromosome 8p21, with a one-LOD support interval that does not include the candidate gene NRG1, suggesting that one or more other susceptibility loci might exist in the region. In this era of genomewide association and deep resequencing studies, consensus linkage regions deserve continued attention, given that linkage signals can be produced by many types of genomic variation, including any combination of multiple common or rare SNPs or copy number variants in a region.

Meta-analysis of 32 genome-wide linkage studies of schizophrenia

A genome scan meta-analysis (GSMA) was carried out on 32 independent genome-wide linkage scan analyses that included 3255 pedigrees with 7413 genotyped cases affected with schizophrenia (SCZ) or related disorders. The primary GSMA divided the autosomes into 120 bins, rank-ordered the bins within each study according to the most positive linkage result in each bin, summed these ranks (weighted for study size) for each bin across studies and determined the empirical probability of a given summed rank (P(SR)) by simulation. Suggestive evidence for linkage was observed in two single bins, on chromosomes 5q (142-168 Mb) and 2q (103-134 Mb). Genome-wide evidence for linkage was detected on chromosome 2q (119-152 Mb) when bin boundaries were shifted to the middle of the previous bins. The primary analysis met empirical criteria for 'aggregate' genome-wide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q. In a secondary analysis of 22 studies of European-ancestry samples, suggestive evidence for linkage was observed on chromosome 8p (16-33 Mb). Although the newer genome-wide association methodology has greater power to detect weak associations to single common DNA sequence variants, linkage analysis can detect diverse genetic effects that segregate in families, including multiple rare variants within one locus or several weakly associated loci in the same region. Therefore, the regions supported by this meta-analysis deserve close attention in future studies.

Diagnosis of schizophrenia in latino populations: a comparison of direct interview and consensus based multi-source methods

We determined the rates of agreement between diagnoses, using the Diagnostic Interview for Genetic Studies (DIGS) and diagnoses arrived at, using additional sources of information, to establish whether there are differences in agreement between direct interview diagnoses at US and non-US sites in comparison best estimate consensus process and to identify diagnoses that could increase diagnostic error when only the DIGS is used. DIGS diagnoses were compared with consensus diagnoses that used the same DIGS interview, plus Family Interview for Genetic Studies (FIGS) and review of medical records in 342 psychotic subjects. We found similar numbers of subjects diagnosed with schizophrenia (225 by direct interview, and 232 by consensus process). The majority of those "misdiagnosed" by direct interview had mood disorder by the consensus. Over 10% of the total subjects diagnosed by direct interview as not meeting criteria for schizophrenia had schizophrenia by consensus. There were no statistically significant differences between countries (US vs. non-US sites) in the agreement rate between direct interview diagnosis and consensus diagnosis. In conclusion, a final best-estimate process is essential to make diagnostic distinctions and to reduce diagnostic misclassifications for both research studies and in clinical practice.

Genome-wide linkage analysis of heroin dependence in Han Chinese: results from Wave Two of a multi-stage study

Previously we reported the results of Wave One of a genome-wide search for heroin dependence susceptibility loci in Han Chinese families from Yunnan Province, China, near Asia's "Golden Triangle". Our initial analysis of 194 independent affected sibling-pairs from 192 families identified two regions with nonparametric linkage (NPL) Z-scores greater than 2.0, which were suggestive of linkage. Presently we have supplemented our sample with additional individuals and families, bringing the total number of genotyped individuals to 1513 and the number of independent sibling-pairs to 397. Upon repeating our analyses with this larger sample, we found that the evidence for linkage at our most strongly implicated locus from Wave One (marker D17S1880; 53.4cM on 17q11.2; NPL Z=2.36; uncorrected p=0.009) was completely abolished (Z=-1.13; p=0.900). In contrast, the evidence for linkage at the second-most strongly implicated locus from Wave One (D4S1644; 143.3cM on 4q31.21; NPL Z=2.19; uncorrected p=0.014) increased in its magnitude and significance (Z=2.64; uncorrected p=0.004), becoming the most strongly implicated locus overall in our full sample. Other loci on chromosomes 1, 2, 4, 12, 16, and X also displayed nominally significant evidence for linkage (p< or =0.05). These loci appear to be entirely distinct from opioid-linked loci reported by other groups; however, meta-analyses of all available linkage data may reveal common sites of interest and promising candidate genes that can be further evaluated as risk factors for the illness.

Whole-genome association study of bipolar disorder

We performed a genome-wide association scan in 1461 patients with bipolar (BP) 1 disorder, 2008 controls drawn from the Systematic Treatment Enhancement Program for Bipolar Disorder and the University College London sample collections with successful genotyping for 372,193 single nucleotide polymorphisms (SNPs). Our strongest single SNP results are found in myosin5B (MYO5B; P=1.66 x 10(-7)) and tetraspanin-8 (TSPAN8; P=6.11 x 10(-7)). Haplotype analysis further supported single SNP results highlighting MYO5B, TSPAN8 and the epidermal growth factor receptor (MYO5B; P=2.04 x 10(-8), TSPAN8; P=7.57 x 10(-7) and EGFR; P=8.36 x 10(-8)). For replication, we genotyped 304 SNPs in family-based NIMH samples (n=409 trios) and University of Edinburgh case-control samples (n=365 cases, 351 controls) that did not provide independent replication after correction for multiple testing. A comparison of our strongest associations with the genome-wide scan of 1868 patients with BP disorder and 2938 controls who completed the scan as part of the Wellcome Trust Case-Control Consortium indicates concordant signals for SNPs within the voltage-dependent calcium channel, L-type, alpha 1C subunit (CACNA1C) gene. Given the heritability of BP disorder, the lack of agreement between studies emphasizes that susceptibility alleles are likely to be modest in effect size and require even larger samples for detection.

Association of synapsin 2 with schizophrenia in families of Northern European ancestry

The synapsin 2 (Syn2) gene (3p25) is implicated in synaptogenesis, neurotransmitter release, and the localization of nitric oxide synthase to the proximity of its targets. In this study we investigated linkage and association between the Syn2 locus and schizophrenia. 37 pedigrees of Northern European ancestry from the NIMH Human Genetics Initiative collection were used. Four microsatellites and twenty SNPs were genotyped. Linkage (FASTLINK) and association (TRANSMIT, PDTPHASE) between markers and schizophrenia were evaluated. A maximum heterogeneity LOD of 1.93 was observed at marker D3S3434 with a recessive mode of inheritance. Significant results were obtained for association with schizophrenia using TRANSMIT (minimum nominal p=0.0000005) and PDTPHASE (minimum nominal p=0.014) using single marker analyses. Haplotype analysis using markers in introns 5 and 6 of Syn2 provided a single haplotype that is significantly associated with schizophrenia using TRANSMIT (nominal p<0.00000001) and PDTPHASE (nominal p=0.02). Simulation studies confirm the global significance of these results, but demonstrate that the small p-values generated by the bootstrap routine of TRANSMIT can be consistently anticonservative. Review of the literature suggests that Syn2 is likely to be involved in the etiology or pathogenesis of schizophrenia.

Evaluation of OPRM1 variants in heroin dependence by family-based association testing and meta-analysis

OPRM1, which codes for the mu-opioid receptor, is the most frequently studied candidate gene for opioid dependence. Despite numerous allelic association studies, no definitive conclusion has been reached regarding the role of OPRM1 polymorphisms in determining risk for opioid dependence. We attempted to resolve this by conducting a family-based association study and meta-analysis which may be more robust and powerful, respectively, than traditional case-control analyses. First, we genotyped three single nucleotide polymorphisms (SNPs) of OPRM1 in 1208 individuals from 473 Han Chinese families ascertained on the basis of having two or more siblings with DSM-IV-defined opioid dependence. The Val6Ala and Arg111His SNPs were detected, but with low minor allele frequencies (0.002 and 0.001, respectively). The Asn40Asp SNP was more informative (minor allele frequency: 0.419), but no significant evidence was observed for either a dominant (p=0.810) or additive (p=0.406) effect of this polymorphism on risk for opioid dependence. In addition, a meta-analysis of case-control studies of opioid dependence was performed, and found a similar lack of evidence for an association with the Asn40Asp SNP (p=0.859). Although a role of OPRM1 polymorphisms in determining risk for opioid dependence cannot be entirely discounted, a major contribution of the Asn40Asp polymorphism seems unlikely. Further analysis is warranted in samples from specific ancestral groups. In addition, it is critical that other OPRM1 variants, including all haplotype-tagging and amino-acid-coding SNPs, be tested for an influence on risk for opioid dependence, since the Asn40Asp polymorphism is only one of several hundred known mutations in the gene.

Competing definitions of schizophrenia: what can be learned from polydiagnostic studies?

The contemporary diagnoses of schizophrenia (sz)-Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition(DSM-IV) and International Classification of Diseases, 10th Revision(ICD-10)-are widely considered as important scientific achievements. However, these algorithms were not a product of explicit conceptual analyses and empirical studies but defined through consensus with the purpose of improving reliability. The validity status of current definitions and of their predecessors remains unclear. The so-called "polydiagnostic approach" applies different definitions of a disorder to the same patient sample in order to compare these definitions on potential validity indicators. We reviewed 92 polydiagnostic sz studies published since the early 1970s. Different sz definitions show a considerable variation concerning frequency, concordance, reliability, outcome, and other validity measures. The DSM-IV and the ICD-10 show moderate reliability but both definitions appear weak in terms of concurrent validity, eg, with respect to an aggregation of a priori important features. The first-rank symptoms of Schneider are not associated with family history of sz or with prediction of poor outcome. The introduction of long duration criteria and exclusion of affective syndromes tend to restrict the diagnosis to chronic stable patients. Patients fulfilling the majority of definitions (core sz patients) do not seem to constitute a strongly valid subgroup but rather a severely ill subgroup. Paradoxically, it seems that a century after the introduction of the sz concept, research is still badly needed, concerning conceptual and construct validity of sz, its essential psychopathological features, and phenotypic boundaries.

Genome-wide linkage analysis of heroin dependence in Han Chinese: results from wave one of a multi-stage study

The contribution of genes to the etiology of heroin dependence is greater than for any other illicit drug. The specific genes mediating this effect remain unknown, despite several candidate gene association studies of the condition. Here we report the results of a genome-wide search for heroin dependence susceptibility loci using multipoint linkage analysis. In phase I, we ascertained 207 independent affected sibling pairs from 202 Han Chinese families from Yunnan Province, China (near Asia's "Golden Triangle"). After data-cleaning, 194 fully independent sibling pairs (i.e., with no overlapping individuals) from 192 families were genotyped on 404 short tandem-repeat markers spaced at an average inter-marker distance of 9 cM. Although none of our findings achieved genome-wide significance, we found two regions with non-parametric linkage (NPL) Z-scores greater than 2.0. An NPL Z-score of 2.19 (uncorrected P-value = 0.014) was observed at D4S1644, located at 143.3 cM on chromosomal region 4q31.21. The highest NPL Z-score of 2.36 (uncorrected P-value = 0.009) was observed at 53.4 cM on chromosomal region 17q11.2 at marker D17S1880. This is among the first published reports of a genome-wide linkage analysis of heroin dependence. Forthcoming results from other groups and from two additional waves of ascertainment (one planned, one currently ongoing) for our own study should be able to support or refute the putative susceptibility loci we have identified, after which positional candidate genes can be further evaluated as risk factors for the illness.

Early onset bipolar disorder: possible linkage to chromosome 9q34

OBJECTIVES

Bipolar disorder (BD) is characterized by manic and depressive states that onset at various times in life. Research shows that early onset forms of BD are associated with a stronger genetic loading for the illness. We hypothesized that using age at onset to look at subsets of BD families in a genetic linkage analysis would prove useful in separating etiologically homogeneous BD sub-groups and subsequently identifying genetic susceptibility regions.

METHODS

We used the wave-I National Institute of Mental Health (NIMH) Genetics Initiative BD sample, which includes 540 individuals from 97 families with BD, in an ordered-subsets linkage analysis with age at onset of mania as the subset-identifying covariate. This analysis was performed using GENEHUNTER-PLUS followed by the ordered-subsets analysis program. This program generates empirical p-values for the subset with the largest LOD score to determine whether this value was significantly higher than the baseline LOD score using all families.

RESULTS

Three chromosomal regions resulted in LOD scores above 2.0: 2.21 (6q25), 3.21 (9q34), and 2.16 (20q11). The largest increase in LOD score was observed on chromosome 9q34 between markers D9S290 and D9S915 in the subset of 58 families that had mania onset before age 20. Families with a minimal mania onset less than 20 years had a significantly greater number of psychiatric comorbidities (p = 0.02) and a marginal increase in depressive symptoms (p = 0.10).

CONCLUSIONS

Further investigation into chromosomal region 9q34 is necessary to determine whether this region may harbor a gene specific to families with a minimal age at onset of less than 20.

Carving chaos: genetics and the classification of mood and psychotic syndromes

Though Kraepelin's century-old division of major mental illness into mood disorder and schizophrenia remains in place, debate abounds over the most appropriate classification. Although these arguments previously rested solely on clinical grounds, they now are rooted in genetics and neurobiology. This article reviews evidence from the fields of genetic epidemiology, linkage, association, cytogenetics, and gene expression. Taken together, these data suggest some overlap in the genes that predispose to bipolar disorder and schizophrenia. One gene, DAOA (D-amino acid oxidase activator, also known as G72), has been repeatedly implicated as an overlap gene, while DISC1 and others may constitute additional shared susceptibility genes. Further, some evidence implicates syndromes of co-occurring mood and psychotic symptoms in association with the putative risk alleles in overlap genes. From a nosologic perspective, the existence of overlap genes, coupled with the genotype-phenotype correlations discovered to date, supports the reality of the much debated schizoaffective disorder. Potential non-overlap syndromes--such as nonpsychotic bipolar disorder or cyclothymic temperament, on the one hand, and negative symptoms or the deficit syndrome, on the other--could turn out to have their own unique genetic determinants. If genotypes are to be the anchor points of a clinically useful system of classification, they must ultimately be shown to inform prognosis, treatment, and prevention. No gene variants have yet met these tests in bipolar disorder or schizophrenia.

Genome scan of schizophrenia families in a large Veterans Affairs Cooperative Study sample: evidence for linkage to 18p11.32 and for racial heterogeneity on chromosomes 6 and 14

Genome-wide linkage analyses of schizophrenia have identified several regions that may harbor schizophrenia susceptibility genes but, given the complex etiology of the disorder, it is unlikely that all susceptibility regions have been detected. We report results from a genome scan of 166 schizophrenia families collected through the Department of Veterans Affairs Cooperative Studies Program. Our definition of affection status included schizophrenia and schizoaffective disorder, depressed type and we defined families as European American (EA) and African American (AA) based on the probands' and parents' races based on data collected by interviewing the probands. We also assessed evidence for racial heterogeneity in the regions most suggestive of linkage. The maximum LOD score across the genome was 2.96 for chromosome 18, at 0.5 cM in the combined race sample. Both racial groups showed LOD scores greater than 1.0 for chromosome 18. The empirical P-value associated with that LOD score is 0.04 assuming a single genome scan for the combined sample with race narrowly defined, and 0.06 for the combined sample allowing for broad and narrow definitions of race. The empirical P-value of observing a LOD score as large as 2.96 in the combined sample, and of at least 1.0 in each racial group, allowing for narrow and broad racial definitions, is 0.04. Evidence for the second and third largest linkage signals come solely from the AA sample on chromosomes 6 (LOD = 2.11 at 33.2 cM) and 14 (LOD = 2.13 at 51.0). The linkage evidence differed between the AA and EA samples (chromosome 6 P-value = 0.007 and chromosome 14 P-value = 0.004).

Taiwan schizophrenia linkage study: the field study

One possible reason of the inconsistent results of linkage analyses of schizophrenia, a complex disorder, was mainly due to the small sample size of studies. This Taiwan Schizophrenia Linkage Study (TSLS) was designed to collect a large family sample with at least two affected siblings of a single ethnicity. The 17.6 millions of Taiwanese Chinese, age over 15, was the sample population, and 78 psychiatric hospitals or health centers participated in this TSLS program. Before data collection started, every study subject signed the informed consent. The ascertainment protocol for data collection included blood sample, structured Diagnostic Interview for Genetic Studies (DIGS), Structured Interview for Schizotypy (SIS), scales for assessment of positive and negative symptoms (SAPS, SANS), and continuous performance test (CPT), Wisconsin card sort test (WCST) of neuropsychological functions. We have contacted 831 families for this study and 607 families, comprised 2,490 subjects, were successfully recruited. The recruitment rate was 38.4% from the estimated total of 1,582 families with at least two affected siblings. These collected family samples were fairly evenly distributed all over Taiwan. Those 2,490 study subjects (1,283 male, 1,117 female) comprised 1,568 siblings (mean age 35.7 years old) and 922 parents (mean age 63.6 years old). Of these 1,568 siblings, 1,258 (80.2%) were affected (male 795, female 463), and the mean age of onset was 22.6 years old. Among 922 parents, 65 were affected (male 14, female 51) and the age of onset was 33.1 years old. This TSLS demonstrated a successful establishment of an efficient research infrastructure to collect a large nation-wise sample of schizophrenic family for genetic linkage study.

Gender differences in bipolar disorder: age of onset, course, comorbidity, and symptom presentation

OBJECTIVE

To determine whether men and women with bipolar disorder differ in age of onset, course of illness, number of suicide attempts, comorbidity rates and symptom presentation.

METHOD

Data were collected from 211 (121 women; 90 men) adults using the Diagnostic Interview for Genetic Studies, medical records, and additional information gathered from relatives.

RESULTS

Most gender comparisons showed no evidence of differences. Nonetheless, more men than women reported mania at the onset of bipolar I disorder. Men also had higher rates of comorbid alcohol abuse/dependence, cannabis abuse/dependence, pathological gambling and conduct disorder. Men were more likely to report 'behavioural problems' and 'being unable to hold a conversation' during mania. Women reported higher rates of comorbid eating disorders, and weight change, appetite change and middle insomnia during depression.

CONCLUSIONS

Men and women were generally similar in their symptom presentation, age of onset of bipolar disorder, and in the total number of mood episodes. However, they differed in the type of episode at onset and comorbidity patterns.

Hallucinations in bipolar disorder: characteristics and comparison to unipolar depression and schizophrenia

OBJECTIVE

As there is very little research on the topic, we compared the frequency and the type hallucinations among hospitalized patients diagnosed with bipolar disorder (BPD) versus other major psychiatric illnesses.

METHODS

At admission, all patients hospitalized at the Department of Psychiatry at the Freie Universität Berlin (1981-2001) underwent comprehensive assessments using the standardized Association for Methodology and Documentation in Psychiatry (AMDP) system. We used these data to compare risks and types of hallucinations and associated factors by bivariate and multivariate testing in patients diagnosed with BPD, major depression, or schizophrenia.

RESULTS

At admission, the cross-sectional prevalence of current hallucinations among 4972 hospitalized subjects ranked: schizophrenia (61.1%), bipolar mixed (22.9%), bipolar manic (11.2%), bipolar depressed (10.5%), unipolar depressed (5.9%). The most frequent hallucinations across all patients were auditory, followed by somatic and visual hallucinations. There were only minor age or sex differences in risk of hallucinations. Compared with patients diagnosed with schizophrenia, hallucinations among patients with BPD were less severe, more visual and less often auditory. Characteristics of hallucinations were similar among manic and both bipolar- and unipolar-depressed subjects. Among patients with major affective disorders, those with hallucinations were less well-educated, had higher anxiety scores, less insight into the illness, and their hospitalizations averaged 17% longer. Across all diagnoses, hallucinations, particularly olfactory, were significantly associated with delusions. Hallucinations in BPD were most often accompanied by persecutory delusions; delusions of grandeur were least associated with hallucinations.

CONCLUSIONS

This study provides detailed descriptive data regarding the frequency (cross-sectional) and characteristics of hallucinations in a large sample of patients with BPD, major depression or schizophrenia. Our results suggest a link of lower education and the presence of hallucinations in major affective disorders. The significance of this finding, as well as the role of anxiety in hallucinating patients, requires further study.

Genome-wide scan of homogeneous subtypes of NIMH genetics initiative schizophrenia families

In the light of the potential etiological heterogeneity of schizophrenia, we reanalyzed the NIMH genetics initiative data for schizophrenia. We performed linkage analyses on schizophrenia families divided into more homogeneous subgroups. The African-American and European-American families were divided into groups that were successively more homogeneous. The first group included schizophrenia families that were highly familial, meaning that they contained a minimum specified number of affected individuals. We also excluded patients with environmental influences that may affect disease status. These influences included obstetric complications (OC) and viral infections during the neurodevelopmental stage (VIN). In the African-American sample, a linkage analysis of highly familial schizophrenia families without any environmental influences resulted in a single-point LOD (SLOD) score of 2.90, a multipoint LOD (MLOD) of 2.11, a single-point heterogeneity LOD (SHLOD) score of 3.04, and a multipoint heterogeneity LOD (MHLOD) score of 2.11 at marker D8S1819 (8p23.1) under a dominant parametric model. The highly familial European-American schizophrenia families resulted in an SLOD of 0.91 and an MLOD of 1.85, an SHLOD of 1.64 and an MHLOD of 1.97 at marker D22S1169 (22q13.32) using a recessive parametric model. Although this work should be interpreted cautiously and requires replication, these results suggest that schizophrenia may be linked to chromosomal regions 8p23.1 and 22q12.3-q13.32.

Sensitivity of ICD-10 diagnosis of psychotic disorders in the Israeli National Hospitalization Registry compared with RDC diagnoses based on SADS-L

OBJECTIVE

The Israeli National Psychiatric Hospitalization Registry is a nationwide list of all psychiatric hospitalizations in the country and has been widely used as a source of data for psychiatric research. This study assessed the sensitivity of the diagnosis of psychotic disorders ( International Statistical Classification of Diseases, 10th Revision [ ICD-10 ] F20.0-F29.9) and schizophrenia ( ICD-10 F20.0-F20.9) in the Registry.

METHOD

Registry discharge diagnoses of psychotic disorders ( ICD-10 F20.0-F29.9) and schizophrenia ( ICD-10 F20.0-F20.9) were compared with research diagnoses derived from best-estimate procedures based on Research Diagnostic Criteria (RDC) using structured clinical research interviews, hospital records, and family information.

RESULTS

Out of 169 patients meeting RDC for psychotic disorder, 150 also had a diagnosis of psychotic disorders in the Registry, yielding a sensitivity of 0.89. Re-running this analysis for the narrow definition of schizophrenia identified 94 patients who were diagnosed with schizophrenia using RDC; 82 of those patients also had a diagnosis of schizophrenia in the Registry, yielding a sensitivity of 0.87.

CONCLUSION

In 87% to 89% of cases with psychotic disorders or with schizophrenia, Registry diagnoses agreed with RDC diagnoses, a rate of agreement comparable with those of other, similar registries. Because a large number of analyses derived from this and similar national registries will be published in the coming years, this constitutes relevant information.

A genome-wide scan of symptom dimensions in bipolar disorder pedigrees of adult probands

Although twin and adoption show bipolar disorder (BP) has a strong genetic component, few chromosomal regions have been consistently implicated by molecular genetic studies. To address this issue, we sought to determine if quantitative dimensions of bipolar disorder symptoms would be useful for detecting genes that underlie the susceptibility to bipolar disorder. Subjects were 520 individuals diagnosed with bipolar I, bipolar II or schizoaffective disorder, bipolar type who had participated in the NIMH genetics initiative for bipolar disorder. We constructed symptom scores from 29 psychiatric symptoms recorded in the Diagnostic Interview for Genetic Studies (DIGS). Principal components factor analysis followed by a varimax rotation was used to extract symptom dimensions. Factor scores were calculated for all genotyped individuals in the sample, regardless of affection status. Heritable factors were used in a variance-components linkage analysis, which utilized the exact likelihoods of allele-sharing identical-by-descent for each pair of relatives within each pedigree. The principal components factor analysis resulted in five independent dimensions: depressed state, psychosis, sleep disturbances, psychomotor acceleration, and irritability. Two factors were significantly heritable: depression (h2=0.53, p<0.001) and irritable vs. euphoric mania (h2=0.35, p=0.03). These were subsequently used in a linkage analysis that resulted in LOD scores of <2.0, which are not statistically significant. The five constructs developed through factor analysis appear to be consistent with previous factor analyses. Notably, only the dimensions associated with the type of mood disturbance showed high heritability, which suggests that careful measurements of depression, euphoria and irritability may be particularly useful in clarifying the genetic etiology of bipolar disorder in future studies.

Affective disorders in the first-degree relatives of bipolar probands: results from the South Island Bipolar Study

The current study was performed to document observed rates of affective disorders in the first degree relatives of probands with bipolar I or II disorder; to determine whether bipolar II probands have an excess of bipolar II relatives; and to determine whether bipolar probands with a history of one or more suicide attempts have more relatives who have also made suicide attempts. Bipolar probands with positive family histories of affective disorder were recruited from a variety of sources for a study on the molecular genetics of bipolar disorder. Probands and relatives were interviewed with the Diagnostic Interview for Genetic Studies (DIGS) and blood was obtained for DNA extraction and genetic analyses. Among 423 first-degree adult relatives of 153 bipolar probands, 7% (29) had bipolar I disorder, 7% had bipolar II disorder, and 7% had bipolar not otherwise specified (NOS) disorder, making 21% of relatives with any bipolar disorder. A further 42% of relatives had a depressive disorder and only 38% had no affective disorder. A suicide attempt by a proband was not associated with any increase in suicide attempts by relatives. We conclude that while unipolar depressive disorders are the most common affective disorders in the first-degree relatives of bipolar probands, extension of the bipolar phenotype to include bipolar spectrum disorders results in 21% of relatives having any bipolar disorder.

Examination of candidate genes in language disorder: A model of genetic association for treatment studies

The purpose of this review is to provide a model for studying genetic association of response to intervention in child language disorders. In addition to a theoretical overview and review of different approaches to studying candidate genes, a specific methodology for completing this type of analysis is presented. The goal of the analysis is to provide detail beyond simple broad phenotyping for affected and nonaffected individuals and to take advantage of data yielded from concise behavioral phenotyping often available in treatment studies.

Genome scan meta-analysis of schizophrenia and bipolar disorder, part II: Schizophrenia

Schizophrenia is a common disorder with high heritability and a 10-fold increase in risk to siblings of probands. Replication has been inconsistent for reports of significant genetic linkage. To assess evidence for linkage across studies, rank-based genome scan meta-analysis (GSMA) was applied to data from 20 schizophrenia genome scans. Each marker for each scan was assigned to 1 of 120 30-cM bins, with the bins ranked by linkage scores (1 = most significant) and the ranks averaged across studies (R(avg)) and then weighted for sample size (N(sqrt)[affected casess]). A permutation test was used to compute the probability of observing, by chance, each bin's average rank (P(AvgRnk)) or of observing it for a bin with the same place (first, second, etc.) in the order of average ranks in each permutation (P(ord)). The GSMA produced significant genomewide evidence for linkage on chromosome 2q (PAvgRnk<.000417). Two aggregate criteria for linkage were also met (clusters of nominally significant P values that did not occur in 1,000 replicates of the entire data set with no linkage present): 12 consecutive bins with both P(AvgRnk) and P(ord)<.05, including regions of chromosomes 5q, 3p, 11q, 6p, 1q, 22q, 8p, 20q, and 14p, and 19 consecutive bins with P(ord)<.05, additionally including regions of chromosomes 16q, 18q, 10p, 15q, 6q, and 17q. There is greater consistency of linkage results across studies than has been previously recognized. The results suggest that some or all of these regions contain loci that increase susceptibility to schizophrenia in diverse populations.

Modest evidence for linkage and possible confirmation of association between NOTCH4 and schizophrenia in a large Veterans Affairs Cooperative Study sample

Wei and Hemmings [2000: Nat Genet 25:376-377], using 80 British parent-offspring trios, identified a number of NOTCH4 variants and haplotypes that showed statistically significant evidence of association to schizophrenia. Specifically, the 10 repeat allele of a (CTG)(n) marker and the 8 repeat allele of a (TAA)(n) marker demonstrated excess transmission to affected individuals; SNP21 and haplotypes SNP2-(CTG)(n) and SNP12-SNP2-(CTG)(n) also showed significant associations. In an attempt to replicate these findings, we tested for linkage and association between the same five markers used by Wei and Hemmings in 166 families collected from a multi-center study conducted by the Department of Veterans Affairs (DVA) Cooperative Study Program (CSP). The families include 392 affected subjects (schizophrenia or schizoaffective disorder, depressed) and 216 affected sibling pairs. The families represent a mix of European Americans (n = 62, 37%), African Americans (n = 60, 36%), and racially mixed or other races (n = 44, 27%). We identified moderate evidence for linkage in the pooled race sample (LOD = 1.25) and found excess transmission of the 8 (P = 0.06) and 13 (P = 0.04) repeat alleles of the (TAA)(n) marker to African American schizophrenic subjects. The 8 and 13 repeat alleles were previously identified to be positively associated with schizophrenia by Wei and Hemmings [2000: Nat Genet 25:376-377] and Sklar et al. [2001: Nat Genet 28:126-128], respectively.

Linkage analysis in psychiatric disorders: the emerging picture

Gene finding in genetically complex diseases has been difficult as a result of many factors that have diagnostic and methodologic considerations. For bipolar disorder and schizophrenia, numerous family, twin, and adoption studies have identified a strong genetic component to these behavioral psychiatric disorders. Despite difficulties that include diagnostic differences between sample populations and the lack of statistical significance in many individual studies, several promising patterns have emerged, suggesting that true susceptibility loci for schizophrenia and bipolar disorder may have been identified. In this review, the genetic epidemiology of these disorders is covered as well as linkage findings on chromosomes 4, 12, 13, 18, 21, and 22 in bipolar disorder and on chromosomes 1, 6, 8, 10, 13, 15, and 22 in schizophrenia. The sequencing of the human genome and identification of numerous single nucleotide polymorphisms (SNP) should substantially enhance the ability of investigators to identify disease-causing genes in these areas of the genome.

Genome scan of three quantitative traits in schizophrenia pedigrees

BACKGROUND

Twin and adoption studies have consistently implicated genes in the etiology of schizophrenia. Molecular genetic studies have found some consistent support for linkage to many regions of the genome. Despite these encouraging results, none of these findings have achieved genome-wide levels of statistical significance, and none have been consistently replicated.

METHODS

This report is a follow-up of a genome scan that analyzed linkage to the diagnosis of schizophrenia in a series of sibling pairs in the National Institute of Mental Health Genetics Initiative for Schizophrenia data. In this report, we use the same sample to assess linkage to three quantitative traits developed from the Scale for the Assessment of Negative Symptoms and the Scale for the Assessment of Positive Symptoms: positive, negative, and disorganized symptoms.

RESULTS

We show suggestive linkage to chromosomes 6, 9, and 20 for the disorganized trait and to chromosome 12 for the negative trait. We also show weak association with PAH (phenylalanine hydroxylase) on that chromosome.

CONCLUSIONS

The findings on chromosome 6 replicate some prior findings, the other loci are novel. A larger sample would provide more power to detect both linkage and association for this complex disorder.

Linkage of chromosome 13q32 to schizophrenia in a large veterans affairs cooperative study sample

Several prior reports have suggested that chromosomal region 13q32 may harbor a schizophrenia susceptibility gene. In an attempt to replicate this finding, we assessed linkage between chromosome 13 markers and schizophrenia in 166 families, each with two or more affected members. The families, assembled from multiple centers by the Department of Veterans Affairs Cooperative Studies Program, included 392 sampled affected subjects and 216 affected sib pairs. By DSM-III-R criteria, 360 subjects (91.8%) had a diagnosis of schizophrenia and 32 (8.2%) were classified as schizoaffective disorder, depressed. The families had mixed ethnic backgrounds. The majority were northern European-American families (n = 62, 37%), but a substantial proportion were African-American kindreds (n = 60, 36%). Chromosome 13 markers, spaced at intervals of approximately 10 cM over the entire chromosome and 2-5 cM for the 13q32 region were genotyped and the data analyzed using semi-parametric affected only linkage analysis. For the combined sample (with race broadly defined and schizophrenia narrowly defined) the maximum LOD score was 1.43 (Z-score of 2.57; P = 0.01) at 79.0 cM between markers D13S1241 (76.3 cM) and D13S159 (79.5 cM). Both ethnic groups showed a peak in this region. The peak is within 3 cM of the peak reported by Brzustowicz et al. [1999: Am J Hum Genet 65:1096-1103].