Publications by authors named "Janet L Sobell"

In studies of individuals of primarily European genetic ancestry, common and low-frequency variants and rare coding variants have been found to be associated with the risk of bipolar disorder (BD) and schizophrenia (SZ). However, less is known for individuals of other genetic ancestries or the role of rare non-coding variants in BD and SZ risk. We performed whole genome sequencing of African American individuals: 1,598 with BD, 3,295 with SZ, and 2,651 unaffected controls (InPSYght study).

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Event-related potentials (ERPs) are small voltage changes in the brain that reliably occur in response to auditory or visual stimuli. ERPs have been extensively studied in both humans and animals to identify biomarkers, test pharmacological agents, and generate testable hypotheses about the physiological and genetic basis of schizophrenia. In this chapter, we discuss how ERPs are generated and recorded as well as review canonical ERP components in the context of schizophrenia research in humans.

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Article Synopsis
  • * Researchers discovered 287 genomic regions associated with schizophrenia, emphasizing genes specifically active in excitatory and inhibitory neurons, and identified 120 key genes potentially responsible for these associations.
  • * The findings highlight important biological processes related to neuronal function, suggesting overlaps between common and rare genetic variants in both schizophrenia and neurodevelopmental disorders, ultimately aiding future research on these conditions.
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  • A meta-analysis of whole exomes from 24,248 schizophrenia cases and 97,322 controls identified ultra-rare coding variants (URVs) linked to schizophrenia risk across 10 significant genes.
  • Some of these genes are heavily expressed in the brain and are involved in synapse formation, pointing to a connection between glutamate system dysfunction and schizophrenia.
  • Additionally, there's an overlap in rare variant risks shared with other disorders like autism and epilepsy, suggesting that both common and rare genetic factors contribute to the same biological processes underlying schizophrenia.
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  • The study investigates the genetic and phenotypic traits associated with age at onset (AAO) and polarity at onset (PAO) in bipolar disorder to enhance understanding of the illness and develop screening tools.
  • Results indicate that an earlier AAO is linked to more severe symptoms, such as psychosis and suicidality, as well as variations in educational success and living situations.
  • The research reveals a significant relationship between higher polygenic risk scores for other mental disorders and earlier AAO, although no significant associations were found for PAO, highlighting considerable variability across different cohorts.
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  • Bipolar disorder has a genetic basis and complex causes; a large study compared nearly 42,000 bipolar patients with over 371,000 healthy controls, revealing 64 genomic regions linked to the disorder.
  • The findings showed that risk-related genes are heavily associated with brain functions, particularly in areas like the prefrontal cortex and hippocampus, and they include targets for various medications.
  • The research also distinguished between bipolar disorder types I and II, revealing a close genetic relationship and highlighting 15 specific genes that could lead to new treatment options and further investigations.
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Background: Genome-wide association studies of schizophrenia have demonstrated that variations in noncoding regions are responsible for most of the common variation heritability of the disease. It is hypothesized that these risk variants alter gene expression. Therefore, studying alterations in gene expression in schizophrenia may provide a direct approach to understanding the etiology of the disease.

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Schizophrenia is a common, chronic and debilitating neuropsychiatric syndrome affecting tens of millions of individuals worldwide. While rare genetic variants play a role in the etiology of schizophrenia, most of the currently explained liability is within common variation, suggesting that variation predating the human diaspora out of Africa harbors a large fraction of the common variant attributable heritability. However, common variant association studies in schizophrenia have concentrated mainly on cohorts of European descent.

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Article Synopsis
  • * The analysis discovered 30 significant genetic loci linked to bipolar disorder, including 20 that hadn't been previously identified, which involve genes related to ion channels and neurotransmitter systems.
  • * The study also showed that Bipolar I disorder has a genetic connection to schizophrenia, particularly linked to psychosis, while Bipolar II disorder is more closely related to major depressive disorder, shedding light on potential biological mechanisms and clinical implications.
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Background: Genetic risk for bipolar disorder (BD) is conferred through many common alleles, while a role for rare copy number variants (CNVs) is less clear. Subtypes of BD including schizoaffective disorder bipolar type (SAB), bipolar I disorder (BD I), and bipolar II disorder (BD II) differ according to the prominence and timing of psychosis, mania, and depression. The genetic factors contributing to the combination of symptoms among these subtypes are poorly understood.

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Importance: DNA methylation may play an important role in schizophrenia (SZ), either directly as a mechanism of pathogenesis or as a biomarker of risk.

Objective: To scan genome-wide DNA methylation data to identify differentially methylated CpGs between SZ cases and controls.

Design, Setting, And Participants: Epigenome-wide association study begun in 2008 using DNA methylation levels of 456 513 CpG loci measured on the Infinium HumanMethylation450 array (Illumina) in a consortium of case-control studies for initial discovery and in an independent replication set.

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Study Objectives: To examine the association between substance use and short sleep duration in individuals with schizophrenia or schizoaffective disorder, depressive type (SADD).

Design: Cross-sectional, retrospective study.

Setting: Urban, suburban, and rural centers across the United States.

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Approximately three million individuals in the United States sustain traumatic brain injury (TBI) every year, with documented impact on a range of neurological and psychiatric disturbances including mania, depression, and psychosis. Identification of subsets of individuals that may demonstrate increased propensity for posttraumatic symptoms and who may share genetic vulnerabilities for gene-environment interactions can enhance efforts to understand, predict, and prevent these phenomena. A sample of 11,489 cases from the Genomic Psychiatry Cohort (GPC), a NIMH-managed data repository for the investigation of schizophrenia and bipolar disorder, was used for this study.

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Advanced paternal age (APA) is a risk factor for schizophrenia (Sz) and bipolar disorder (BP). Putative mechanisms include heritable genetic factors, de novo mutations, and epigenetic mechanisms. Few studies have explored phenotypic features associated with APA.

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Importance: Although early mortality in severe psychiatric illness is linked to smoking and alcohol, to our knowledge, no studies have comprehensively characterized substance use behavior in severe psychotic illness. In particular, recent assessments of substance use in individuals with mental illness are based on population surveys that do not include individuals with severe psychotic illness.

Objective: To compare substance use in individuals with severe psychotic illness with substance use in the general population.

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The Genomic Psychiatry Cohort (GPC) is a longitudinal resource designed to provide the necessary population-based sample for large-scale genomic studies, studies focusing on Research Domain Criteria (RDoC) and/or other alternate phenotype constructs, clinical and interventional studies, nested case-control studies, long-term disease course studies, and genomic variant-to-phenotype studies. We provide and will continue to encourage access to the GPC as an international resource. DNA and other biological samples and diagnostic data are available through the National Institute of Mental Health (NIMH) Repository.

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Background: Associations between schizophrenia (SCZ) and polymorphisms at the regulator of G-protein signaling 4 (RGS4) gene have been reported (single nucleotide polymorphisms [SNPs] 1, 4, 7, and 18). Yet, similar to other SCZ candidate genes, studies have been inconsistent with respect to the associated alleles.

Methods: In an effort to resolve the role for RGS4 in SCZ susceptibility, we undertook a genotype-based meta-analysis using both published and unpublished family-based and case-control samples (total n = 13,807).

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The regulator of G-protein signaling (RGS) and RGS-like proteins are a diverse family of over 30 molecules that function as GTPase activating proteins for Galpha subunits of the Gq and Gi families of heterotrimeric guanine nucleotide-binding proteins (G proteins). By accelerating GTPase activity, RGS proteins drive G proteins into their inactive GDP-bound forms. G-protein coupled dopamine, metabotropic glutamate, and other neurotransmitter receptors can be modulated by RGS4, the predominant form in brain.

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Schizophrenia is one of the most common, devastating, and least understood neuropsychiatric illnesses present in the human population. Despite decades of research involving neurochemical, neuroanatomical, neuropathologic, neurodevelopmental, neuropsychological, and genetic approaches, no clear etiopathophysiology has been elucidated. Among the most robust findings, however, is the contribution of genetics to disease development.

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Aberrant splicing of pre-mRNA is recognized to account for a significant minority of disease-causing mutations. The N-methyl-D-aspartate receptor (NMDA) subunit gene R1 (NMDAR1) is alternatively spliced to produce eight length variants. In an examination of the NMDAR1 as a candidate gene in schizophrenia, a presumed microdeletion/insertion (del/ins) was observed in intron 10 of an African-American male near a weak putative branch-site consensus sequence.

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