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  1. Article ; Online: Characterizing and Coding Psychiatric Diagnoses Using Electronic Health Record Data-Reply.

    Barr, Peter B / Bigdeli, Tim B / Meyers, Jacquelyn L

    JAMA psychiatry

    2022  

    Language English
    Publishing date 2022-09-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2701203-7
    ISSN 2168-6238 ; 2168-622X
    ISSN (online) 2168-6238
    ISSN 2168-622X
    DOI 10.1001/jamapsychiatry.2022.2739
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Prevalence, Comorbidity, and Sociodemographic Correlates of Psychiatric Disorders Reported in the All of Us Research Program.

    Barr, Peter B / Bigdeli, Tim B / Meyers, Jacquelyn L

    JAMA psychiatry

    2022  Volume 79, Issue 6, Page(s) 622–628

    Abstract: Importance: All of Us is a landmark initiative for population-scale research into a variety of health conditions, including psychiatric disorders.: Objective: To analyze the prevalence, comorbidity, and sociodemographic covariates of psychiatric ... ...

    Abstract Importance: All of Us is a landmark initiative for population-scale research into a variety of health conditions, including psychiatric disorders.
    Objective: To analyze the prevalence, comorbidity, and sociodemographic covariates of psychiatric disorders in the All of Us biobank.
    Design, setting, and participants: We estimated prevalence, overlap, and sociodemographic correlates for psychiatric disorders as reported in electronic health records for All of Us release 5 (N = 331 380).
    Exposures: Social and demographic covariates.
    Main outcomes and measures: Psychiatric disorders derived from International Statistical Classification of Diseases, Tenth Revision, Clinical Modification, codes across 6 broad domains: mood disorders, anxiety disorders, substance use disorders, stress-related disorders, schizophrenia, and personality disorders.
    Results: The analytic sample (N = 329 038) was 60.7% female (mean [SD] age, 50.9 [16.8] years). The prevalence of disorders ranged from 11.00% (95% CI, 10.68% to 11.32%) for any mood disorder to less than 1% (eg, obsessive-compulsive disorder, 0.18%; 95% CI, -0.16% to 0.52%), with mood disorders being the most common and personality disorders being the least. There was substantial overlap among disorders, with the majority of participants with a disorder (30 113/58 806, approximately 51%) having 2 or more registered diagnoses and tetrachoric correlations ranging from 0.43 to 0.74. Comparisons of prevalence across demographic categories revealed that non-Hispanic White people, individuals with low socioeconomic status, women and individuals assigned female at birth, and sexual minority individuals are at greatest risk for most disorders.
    Conclusions and relevance: Although rates of disorders among the All of Us cohort are lower than in the general population, considerable variation, comorbidity, and disparities exist across social groups. To improve the practice of equitable precision medicine, researchers can use comprehensive health data from large-scale resources such as All of Us.
    MeSH term(s) Comorbidity ; Female ; Humans ; Infant, Newborn ; Male ; Mental Disorders/diagnosis ; Mental Disorders/epidemiology ; Middle Aged ; Personality Disorders/epidemiology ; Population Health ; Prevalence
    Language English
    Publishing date 2022-04-20
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2701203-7
    ISSN 2168-6238 ; 2168-622X
    ISSN (online) 2168-6238
    ISSN 2168-622X
    DOI 10.1001/jamapsychiatry.2022.0685
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Non-linear development of EEG coherence in adolescents and young adults shown by the analysis of neurophysiological trajectories and their covariance.

    Chorlian, David B / Kamarajan, Chella / Meyers, Jacquelyn L / Pandey, Ashwini K / Zhang, Jian / Kinreich, Sivan / Porjesz, Bernice

    bioRxiv : the preprint server for biology

    2024  

    Abstract: To contribute to the understanding of changes in the factors governing the development of neural connectivity, the developmental structure of EEG coherence in adolescents and young adults was analyzed using the means, variances, and covariances of high ... ...

    Abstract To contribute to the understanding of changes in the factors governing the development of neural connectivity, the developmental structure of EEG coherence in adolescents and young adults was analyzed using the means, variances, and covariances of high alpha frequency band coherence measures from a set of 27 coherence pairs obtained from a sample of 1426 participants from the COGA study with 5006 observations over ages 12 through 31. Means and covariances were calculated at 96 age centers by a LOESS method. In the current study, trajectories of covariance matrices considered as individual units were determined by tensorial analysis: calculation of Riemannian geodesic (non-Euclidean) distances between matrices and application of both linear and non-linear dimension reduction techniques to these distances. Results were evaluated by bootstrap methods. Mean coherence trajectories for males and females were very similar, showing a steady upward trend from ages 12 to 20 which diminishes gradually from 20 to 25 and reaches stability from 25 to 31. In contrast, the individual covariance trajectories of males and female differed, with the male covariance levels becoming greater than that of females during the developmental process. Tensorial determination of the distances from the initial covariance matrix of subsequent covariance matrices to age 20 had the same trajectory as the mean coherence values. Tensorial determination of the trajectories of the covariance matrices of males and females based on their all pairs geodesic distances revealed a non-linear pattern in the multi-dimensional space of each of the trajectories: A steady increase in one dimension is accompanied by deviations from it peaking at age 20 which have both transient and lasting effects. There is a precise temporal parallelism of this pattern of covariance in males and females, while there is a consistent distance between the male and female covariance structures throughout the developmental process. Between region differences (anterior-posterior) within each sex are greater than between sex differences within regions. Examining development using multiple methods provides unique insight into the developmental process.
    Language English
    Publishing date 2024-03-14
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.03.13.584867
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Risk for alcohol use problems in severe mental illness: Interactions with sex and racial/ethnic minority status.

    Levit, Jeremy D / Meyers, Jacquelyn L / Georgakopoulos, Penelope / Pato, Michele T

    Journal of affective disorders

    2022  Volume 325, Page(s) 329–336

    Abstract: Background: Alcohol use disorder (AUD) is exceedingly common among individuals with bipolar disorder and schizophrenia. However, studies on alcohol use in psychiatric illness rely largely on population surveys with limited representation of severe ... ...

    Abstract Background: Alcohol use disorder (AUD) is exceedingly common among individuals with bipolar disorder and schizophrenia. However, studies on alcohol use in psychiatric illness rely largely on population surveys with limited representation of severe mental illness (SMI); schizophrenia and bipolar disorder.
    Methods: Using data from the Genomic Psychiatry Cohort (GPC) (Pato MT, 2013), associations of bipolar disorder and schizophrenia with alcohol use problems were examined in a diverse US based sample, considering the influence of self-described race (African Ancestry (AA), European Ancestry (EA), or Latinx Ancestry (LA)), sex, and tobacco use. Participants answered alcohol use problem items derived from the CAGE instrument, yielding a summed "probable" alcohol use disorder (pAUD) risk score.
    Results: This study included 1952 individuals with bipolar disorder with psychosis (BDwP), 409 with bipolar disorder without psychosis (BD), 9218 with schizophrenia (SCZ), and 10,416 unaffected individuals. We found that SMI (BDwP, BD, SCZ) was associated with elevated AUD risk scores (B = 0.223, p < 0.001), an association which was strongest in females, particularly those of AA and LA, and in tobacco users. Schizophrenia was associated with the greatest increase in pAUD score (B = 0.141, p < 0.001). pAUD risk scores were increased among participants with bipolar disorder, with greater increases in BDwP (B = 0.125, p < 0.001) than in BD without psychosis (B = 0.027, p < 0.001).
    Limitations: Limitations include reliance on self-report data, screening items for AUD, voluntary recruitment bias, and differences in race/sex distribution between groups, which were statistically adjusted for in analytic models.
    Conclusions: SMI is associated with risk for AUD, particularly among females from racial minority groups, smokers, and those with psychotic disorders.
    MeSH term(s) Female ; Humans ; Alcoholism/epidemiology ; Minority Groups ; Ethnic and Racial Minorities ; Ethnicity ; Psychotic Disorders/epidemiology ; Psychotic Disorders/diagnosis
    Language English
    Publishing date 2022-12-30
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 135449-8
    ISSN 1573-2517 ; 0165-0327
    ISSN (online) 1573-2517
    ISSN 0165-0327
    DOI 10.1016/j.jad.2022.12.140
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Prediction of brain age in individuals with and at risk for alcohol use disorder using brain morphological features.

    Kamarajan, Chella / Ardekani, Babak A / Pandey, Ashwini K / Meyers, Jacquelyn L / Chorlian, David B / Kinreich, Sivan / Pandey, Gayathri / Richard, Christian / de Viteri, Stacey Saenz / Kuang, Weipeng / Porjesz, Bernice

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Brain age measures predicted from structural and functional brain features are increasingly being used to understand brain integrity, disorders, and health. While there is a vast literature showing aberrations in both structural and functional brain ... ...

    Abstract Brain age measures predicted from structural and functional brain features are increasingly being used to understand brain integrity, disorders, and health. While there is a vast literature showing aberrations in both structural and functional brain measures in individuals with and at risk for alcohol use disorder (AUD), few studies have investigated brain age in these groups. The current study examines brain age measures predicted using brain morphological features, such as cortical thickness and brain volume, in individuals with a lifetime diagnosis of AUD as well as in those at higher risk to develop AUD from families with multiple members affected with AUD (i.e., higher family history density (FHD) scores). The AUD dataset included a group of 30 adult males (mean age = 41.25 years) with a lifetime diagnosis of AUD and currently abstinent and a group of 30 male controls (mean age = 27.24 years) without any history of AUD. A second dataset of young adults who were categorized based on their FHD scores comprised a group of 40 individuals (20 males) with high FHD of AUD (mean age = 25.33 years) and a group of 31 individuals (18 males) with low FHD (mean age = 25.47 years). Brain age was predicted using 187 brain morphological features of cortical thickness and brain volume in an XGBoost regression model; a bias-correction procedure was applied to the predicted brain age. Results showed that both AUD and high FHD individuals showed an increase of 1.70 and 0.09 years (1.08 months), respectively, in their brain age relative to their chronological age, suggesting accelerated brain aging in AUD and risk for AUD. Increased brain age was associated with poor performance on neurocognitive tests of executive functioning in both AUD and high FHD individuals, indicating that brain age can also serve as a proxy for cognitive functioning and brain health. These findings on brain aging in these groups may have important implications for the prevention and treatment of AUD and ensuing cognitive decline.
    Language English
    Publishing date 2024-03-04
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.03.01.582844
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Genetic influences vary by age and sex: Trajectories of the association of cholinergic system variants and theta band event related oscillations.

    Chorlian, David B / Meyers, Jacquelyn L / Manz, Niklas / Zhang, Jian / Kamarajan, Chella / Pandey, Ashwini / Wang, Jen-Chyong / Plawecki, Martin / Edenberg, Howard / Goate, Alison / Tischfield, Jay / Porjesz, Bernice

    bioRxiv : the preprint server for biology

    2023  

    Abstract: To characterize systemic changes in genetic effects on brain development, the age variation of the associations of cholinergic genetic variants and theta band event-related oscillations (EROs) was studied in a sample of 2140 adolescents and young adults, ...

    Abstract To characterize systemic changes in genetic effects on brain development, the age variation of the associations of cholinergic genetic variants and theta band event-related oscillations (EROs) was studied in a sample of 2140 adolescents and young adults, ages 12 to 25 from the COGA prospective study. The theta band EROs were elicited in visual and auditory oddball (target detection) tasks and measured by EEG recording. Associations were found to vary with age, sex, task modality (auditory or visual), and scalp locality. Seven of the twenty-one muscarinic and nicotinic cholinergic SNPs studied in the analysis, from
    Language English
    Publishing date 2023-02-28
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.02.27.530318
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Alcohol milestones and internalizing, externalizing, and executive function: longitudinal and polygenic score associations.

    Paul, Sarah E / Baranger, David A A / Johnson, Emma C / Jackson, Joshua J / Gorelik, Aaron J / Miller, Alex P / Hatoum, Alexander S / Thompson, Wesley K / Strube, Michael / Dick, Danielle M / Kamarajan, Chella / Kramer, John R / Plawecki, Martin H / Chan, Grace / Anokhin, Andrey P / Chorlian, David B / Kinreich, Sivan / Meyers, Jacquelyn L / Porjesz, Bernice /
    Edenberg, Howard J / Agrawal, Arpana / Bucholz, Kathleen K / Bogdan, Ryan

    Psychological medicine

    2024  , Page(s) 1–14

    Abstract: Background: Although the link between alcohol involvement and behavioral phenotypes (e.g. impulsivity, negative affect, executive function [EF]) is well-established, the directionality of these associations, specificity to stages of alcohol involvement, ...

    Abstract Background: Although the link between alcohol involvement and behavioral phenotypes (e.g. impulsivity, negative affect, executive function [EF]) is well-established, the directionality of these associations, specificity to stages of alcohol involvement, and extent of shared genetic liability remain unclear. We estimate longitudinal associations between transitions among alcohol milestones, behavioral phenotypes, and indices of genetic risk.
    Methods: Data came from the Collaborative Study on the Genetics of Alcoholism (
    Results: Externalizing phenotypes (e.g. conduct disorder symptoms) were associated with future initiation and drinking problems (hazard ratio (HR)⩾1.16). Internalizing (e.g. social anxiety) was associated with hazards for progression from first drink to severe AUD (HR⩾1.55). Initiation and AUD were associated with increased hazards for later depressive symptoms and suicidal ideation (HR⩾1.38), and initiation was associated with increased hazards for future conduct symptoms (HR = 1.60). EF was not associated with alcohol transitions. Drinks per week PGS was linked with increased hazards for alcohol transitions (HR⩾1.06). Problematic alcohol use PGS increased hazards for suicidal ideation (HR = 1.20).
    Conclusions: Behavioral markers of addiction vulnerability precede and follow alcohol transitions, highlighting dynamic, bidirectional relationships between behavior and emerging addiction.
    Language English
    Publishing date 2024-05-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 217420-0
    ISSN 1469-8978 ; 0033-2917
    ISSN (online) 1469-8978
    ISSN 0033-2917
    DOI 10.1017/S003329172400076X
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  8. Article ; Online: Association of parental divorce, discord, and polygenic risk with children's alcohol initiation and lifetime risk for alcohol use disorder.

    Kuo, Sally I-Chun / Thomas, Nathaniel S / Aliev, Fazil / Bucholz, Kathleen K / Dick, Danielle M / McCutcheon, Vivia V / Meyers, Jacquelyn L / Chan, Grace / Kamarajan, Chella / Kramer, John R / Hesselbrock, Victor / Plawecki, Martin H / Porjesz, Bernice / Tischfield, Jay / Salvatore, Jessica E

    Alcohol, clinical & experimental research

    2023  Volume 47, Issue 4, Page(s) 724–735

    Abstract: Background: Parental divorce and discord are associated with poorer alcohol-related outcomes for offspring. However, not all children exposed to these stressors develop alcohol problems. Our objective was to test gene-by-environment interaction effects ... ...

    Abstract Background: Parental divorce and discord are associated with poorer alcohol-related outcomes for offspring. However, not all children exposed to these stressors develop alcohol problems. Our objective was to test gene-by-environment interaction effects whereby children's genetic risk for alcohol problems modifies the effects of parental divorce and discord to predict alcohol outcomes.
    Methods: The sample included European (EA; N = 5608, 47% male, M
    Results: Among EA participants, parental divorce, parental discord, and higher PRS
    Conclusions: Children's genetic risk for alcohol problems modifies the impact of parental divorce/discord, consistent with an additive model of diathesis-stress interaction, with some differences across ancestry.
    MeSH term(s) Humans ; Male ; Child ; Female ; Adult ; Alcoholism/epidemiology ; Alcoholism/genetics ; Divorce ; Parents ; Alcohol Drinking/adverse effects ; Alcohol Drinking/epidemiology ; Alcohol Drinking/genetics ; Alcohol-Related Disorders
    Language English
    Publishing date 2023-03-05
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ISSN 2993-7175
    ISSN (online) 2993-7175
    DOI 10.1111/acer.15042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The collaborative study on the genetics of alcoholism: Brain function.

    Meyers, Jacquelyn L / Brislin, Sarah J / Kamarajan, Chella / Plawecki, Martin H / Chorlian, David / Anohkin, Andrey / Kuperman, Samuel / Merikangas, Alison / Pandey, Gayathri / Kinreich, Sivan / Pandey, Ashwini / Edenberg, Howard J / Bucholz, Kathleen K / Almasy, Laura / Porjesz, Bernice

    Genes, brain, and behavior

    2023  Volume 22, Issue 5, Page(s) e12862

    Abstract: Alcohol use disorder (AUD) and related health conditions result from a complex interaction of genetic, neural and environmental factors, with differential impacts across the lifespan. From its inception, the Collaborative Study on the Genetics of ... ...

    Abstract Alcohol use disorder (AUD) and related health conditions result from a complex interaction of genetic, neural and environmental factors, with differential impacts across the lifespan. From its inception, the Collaborative Study on the Genetics of Alcoholism (COGA) has focused on the importance of brain function as it relates to the risk and consequences of alcohol use and AUD, through the examination of noninvasively recorded brain electrical activity and neuropsychological tests. COGA's sophisticated neurophysiological and neuropsychological measures, together with rich longitudinal, multi-modal family data, have allowed us to disentangle brain-related risk and resilience factors from the consequences of prolonged and heavy alcohol use in the context of genomic and social-environmental influences over the lifespan. COGA has led the field in identifying genetic variation associated with brain functioning, which has advanced the understanding of how genomic risk affects AUD and related disorders. To date, the COGA study has amassed brain function data on over 9871 participants, 7837 with data at more than one time point, and with notable diversity in terms of age (from 7 to 97), gender (52% female), and self-reported race and ethnicity (28% Black, 9% Hispanic). These data are available to the research community through several mechanisms, including directly through the NIAAA, through dbGAP, and in collaboration with COGA investigators. In this review, we provide an overview of COGA's data collection methods and specific brain function measures assessed, and showcase the utility, significance, and contributions these data have made to our understanding of AUD and related disorders, highlighting COGA research findings.
    MeSH term(s) Humans ; Female ; Male ; Alcoholism/genetics ; Alcohol Drinking ; Brain
    Language English
    Publishing date 2023-08-17
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2075819-4
    ISSN 1601-183X ; 1601-1848
    ISSN (online) 1601-183X
    ISSN 1601-1848
    DOI 10.1111/gbb.12862
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  10. Article: Differentiating Individuals with and without Alcohol Use Disorder Using Resting-State fMRI Functional Connectivity of Reward Network, Neuropsychological Performance, and Impulsivity Measures.

    Kamarajan, Chella / Ardekani, Babak A / Pandey, Ashwini K / Kinreich, Sivan / Pandey, Gayathri / Chorlian, David B / Meyers, Jacquelyn L / Zhang, Jian / Bermudez, Elaine / Kuang, Weipeng / Stimus, Arthur T / Porjesz, Bernice

    Behavioral sciences (Basel, Switzerland)

    2022  Volume 12, Issue 5

    Abstract: Individuals with alcohol use disorder (AUD) may manifest an array of neural and behavioral abnormalities, including altered brain networks, impaired neurocognitive functioning, and heightened impulsivity. Using multidomain measures, the current study ... ...

    Abstract Individuals with alcohol use disorder (AUD) may manifest an array of neural and behavioral abnormalities, including altered brain networks, impaired neurocognitive functioning, and heightened impulsivity. Using multidomain measures, the current study aimed to identify specific features that can differentiate individuals with AUD from healthy controls (CTL), utilizing a random forests (RF) classification model. Features included fMRI-based resting-state functional connectivity (rsFC) across the reward network, neuropsychological task performance, and behavioral impulsivity scores, collected from thirty abstinent adult males with prior history of AUD and thirty CTL individuals without a history of AUD. It was found that the RF model achieved a classification accuracy of 86.67% (AUC = 93%) and identified key features of FC and impulsivity that significantly contributed to classifying AUD from CTL individuals. Impulsivity scores were the topmost predictors, followed by twelve rsFC features involving seventeen key reward regions in the brain, such as the ventral tegmental area, nucleus accumbens, anterior insula, anterior cingulate cortex, and other cortical and subcortical structures. Individuals with AUD manifested significant differences in impulsivity and alterations in functional connectivity relative to controls. Specifically, AUD showed heightened impulsivity and hypoconnectivity in nine connections across 13 regions and hyperconnectivity in three connections involving six regions. Relative to controls, visuo-spatial short-term working memory was also found to be impaired in AUD. In conclusion, specific multidomain features of brain connectivity, impulsivity, and neuropsychological performance can be used in a machine learning framework to effectively classify AUD individuals from healthy controls.
    Language English
    Publishing date 2022-04-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2651997-5
    ISSN 2076-328X
    ISSN 2076-328X
    DOI 10.3390/bs12050128
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