Browsing by Author "Kinreich, Sivan"
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Item Alcohol Use Disorder, Psychiatric Comorbidities, Marriage and Divorce in a High-risk Sample(American Psychological Association, 2022) Thomas, Nathaniel S.; Kuo, Sally I-Chun; Aliev, Fazil; McCutcheon, Vivia V.; Meyers, Jacquelyn M.; Chan, Grace; Hesselbrock, Victor; Kamarajan, Chella; Kinreich, Sivan; Kramer, John R.; Kuperman, Samuel; Lai, Dongbing; Plawecki, Martin H.; Porjesz, Bernice; Schuckit, Marc A.; Dick, Danielle M.; Bucholz, Kathleen K.; Salvatore, Jessica E.; Psychiatry, School of MedicineObjective: To examine associations between alcohol use disorder (AUD), its psychiatric comorbidities, and their interactions, with marital outcomes in a diverse high-risk, genetically informative sample. Method: Participants included European ancestry (EA; n = 4,045) and African ancestry (AA; n = 1,550) individuals from the multigenerational Collaborative Study on the Genetics of Alcoholism (COGA) sample (56% female, Mage ∼ 41 years). Outcomes were lifetime marriage and divorce. Predictors included lifetime AUD, an alcohol problems polygenic score (PRS), and AUD comorbidities, including conduct or antisocial personality disorder (ASP), cannabis dependence/abuse (CAN), frequent tobacco use (TOB), and major depressive disorder (MDD). Mixed effect Cox models and generalized linear mixed effects models were fit. Results: Among EA participants, those with AUD and CAN were less likely to marry (hazard ratios [HRs] 0.70-0.83, ps < 0.01). Among AA participants, those with AUD and TOB were less likely to marry (HRs 0.66-0.82, ps < 0.05) and those with MDD were more likely to marry (HR = 1.34, ps < 0.01). Among EA participants, AUD, CAN, TOB, and MDD were associated with higher odds of divorce (odds ratios [ORs] 1.59-2.21, ps < 0.01). Among AA participants, no predictors were significantly associated with divorce. Significant random effects indicated genetic and environmental influences on marriage, but only environmental factors on divorce. Conclusions: In a high-risk sample, AUD was associated with reduced likelihood of marriage in EA and AA individuals and increased risk of divorce in EA individuals. These associations were largely independent of comorbidities. Genetic and environmental background factors contributed to marriage, while only environmental background factors contributed to divorce.Item Associations between alcohol use disorder polygenic score and remission in participants from high-risk families and the Indiana Biobank(Wiley, 2024) Lai, Dongbing; Kuo, Sally I-Chun; Wetherill, Leah; Aliev, Fazil; Zhang, Michael; Marco, Abreu; Schwantes-An, Tae-Hwi; Dick, Danielle; Francis, Meredith W.; Johnson, Emma C.; Kamarajan, Chella; Kinreich, Sivan; Kuperman, Samuel; Meyers, Jacquelyn; Nurnberger, John I.; Liu, Yunlong; Edenberg, Howard J.; Porjesz, Bernice; Agrawal, Arpana; Foroud, Tatiana; Schuckit, Marc; Plawecki, Martin H.; Bucholz, Kathleen K.; McCutcheon, Vivia V.; Medical and Molecular Genetics, School of MedicineBackground: In the United States, ~50% of individuals who meet criteria for alcohol use disorder (AUD) during their lifetimes do not remit. We previously reported that a polygenic score for AUD (PGSAUD ) was positively associated with AUD severity as measured by DSM-5 lifetime criterion count, and AUD severity was negatively associated with remission. Thus, we hypothesized that PGSAUD would be negatively associated with remission. Methods: Individuals of European (EA) and African ancestry (AA) from the Collaborative Study on the Genetics of Alcoholism (COGA) who met lifetime criteria for AUD, and two EA cohorts ascertained for studies of liver diseases and substance use disorders from the Indiana Biobank were included. In COGA, 12-month remission was defined as any period of ≥12 consecutive months without meeting AUD criteria except craving and was further categorized as abstinent and non-abstinent. In the Indiana Biobank, remission was defined based on ICD codes and could not be further distinguished as abstinent or non-abstinent. Sex and age were included as covariates. COGA analyses included additional adjustment for AUD severity, family history of remission, and AUD treatment history. Results: In COGA EA, PGSAUD was negatively associated with 12-month and non-abstinent remission (p ≤ 0.013, βs between -0.15 and -0.10) after adjusting for all covariates. In contrast to the COGA findings, PGSAUD was positively associated with remission (p = 0.004, β = 0.28) in the Indiana Biobank liver diseases cohort but not in the Indiana Biobank substance use disorder cohort (p = 0.17, β = 0.15). Conclusions: PGSAUD was negatively associated with 12-month and non-abstinent remission in COGA EA, independent of behavioral measures of AUD severity and family history of remission. The discrepant results in COGA and the Indiana Biobank could reflect different ascertainment strategies: the Indiana Biobank participants were older and had higher rates of liver disease, suggesting that these individuals remitted due to alcohol-related health conditions that manifested in later life.Item Associations of parent–adolescent closeness with P3 amplitude, frontal theta, and binge drinking among offspring with high risk for alcohol use disorder(Wiley, 2023) Pandey, Gayathri; Kuo, Sally I-Chun; Horne-Osipenko, Kristina A.; Pandey, Ashwini K.; Kamarajan, Chella; Saenz de Viteri, Stacey; Kinreich, Sivan; Chorlian, David B.; Kuang, Weipeng; Stephenson, Mallory; Kramer, John; Anokhin, Andrey; Zang, Yong; Kuperman, Samuel; Hesselbrock, Victor; Schuckit, Marc; Dick, Danielle; Chan, Grace; McCutcheon, Vivia V.; Edenberg, Howard; Bucholz, Kathleen K.; Meyers, Jacquelyn L.; Porjesz, Bernice; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public HealthBackground: Parents impact their offspring's brain development, neurocognitive function, risk, and resilience for alcohol use disorder (AUD) via both genetic and socio-environmental factors. Individuals with AUD and their unaffected children manifest low parietal P3 amplitude and low frontal theta (FT) power, reflecting heritable neurocognitive deficits associated with AUD. Likewise, children who experience poor parenting tend to have atypical brain development and greater rates of alcohol problems. Conversely, positive parenting can be protective and critical for normative development of self-regulation, neurocognitive functioning and the neurobiological systems subserving them. Yet, the role of positive parenting in resiliency toward AUD is understudied and its association with neurocognitive functioning and behavioral vulnerability to AUD among high-risk offspring is less known. Using data from the Collaborative Study on the Genetics of Alcoholism prospective cohort (N = 1256, mean age [SD] = 19.25 [1.88]), we investigated the associations of closeness with mother and father during adolescence with offspring P3 amplitude, FT power, and binge drinking among high-risk offspring. Methods: Self-reported closeness with mother and father between ages 12 and 17 and binge drinking were assessed using the Semi-Structured Assessment for the Genetics of Alcoholism. P3 amplitude and FT power were assessed in response to target stimuli using a Visual Oddball Task. Results: Multivariate multiple regression analyses showed that closeness with father was associated with larger P3 amplitude (p = 0.002) and higher FT power (p = 0.01). Closeness with mother was associated with less binge drinking (p = 0.003). Among male offspring, closeness with father was associated with larger P3 amplitude, but among female offspring, closeness with mother was associated with less binge drinking. These associations remained statistically significant with father's and mothers' AUD symptoms, socioeconomic status, and offspring impulsivity in the model. Conclusions: Among high-risk offspring, closeness with parents during adolescence may promote resilience for developing AUD and related neurocognitive deficits albeit with important sex differences.Item Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts(Springer, 2022-10-04) Barr, Peter B.; Driver, Morgan N.; Kuo, Sally I-Chun; Stephenson, Mallory; Aliev, Fazil; Linnér, Richard Karlsson; Marks, Jesse; Anokhin, Andrey P.; Bucholz, Kathleen; Chan, Grace; Edenberg, Howard J.; Edwards, Alexis C.; Francis, Meredith W.; Hancock, Dana B.; Harden, K. Paige; Kamarajan, Chella; Kaprio, Jaakko; Kinreich, Sivan; Kramer, John R.; Kuperman, Samuel; Latvala, Antti; Meyers, Jacquelyn L.; Palmer, Abraham A.; Plawecki, Martin H.; Porjesz, Bernice; Rose, Richard J.; Schuckit, Marc A.; Salvatore, Jessica E.; Dick , Danielle M.; Medical and Molecular Genetics, School of MedicineSubstance use disorders (SUDs) incur serious social and personal costs. The risk for SUDs is complex, with risk factors ranging from social conditions to individual genetic variation. We examined whether models that include a clinical/environmental risk index (CERI) and polygenic scores (PGS) are able to identify individuals at increased risk of SUD in young adulthood across four longitudinal cohorts for a combined sample of N = 15,134. Our analyses included participants of European (NEUR = 12,659) and African (NAFR = 2475) ancestries. SUD outcomes included: (1) alcohol dependence, (2) nicotine dependence; (3) drug dependence, and (4) any substance dependence. In the models containing the PGS and CERI, the CERI was associated with all three outcomes (ORs = 01.37-1.67). PGS for problematic alcohol use, externalizing, and smoking quantity were associated with alcohol dependence, drug dependence, and nicotine dependence, respectively (OR = 1.11-1.33). PGS for problematic alcohol use and externalizing were also associated with any substance dependence (ORs = 1.09-1.18). The full model explained 6-13% of the variance in SUDs. Those in the top 10% of CERI and PGS had relative risk ratios of 3.86-8.04 for each SUD relative to the bottom 90%. Overall, the combined measures of clinical, environmental, and genetic risk demonstrated modest ability to distinguish between affected and unaffected individuals in young adulthood. PGS were significant but added little in addition to the clinical/environmental risk index. Results from our analysis demonstrate there is still considerable work to be done before tools such as these are ready for clinical applications.Item Clinical, genomic, and neurophysiological correlates of lifetime suicide attempts among individuals with alcohol dependence(medRxiv, 2023-04-29) Barr, Peter B.; Neale, Zoe; Schulman, Jessica; Mullins, Niamh; Zhang, Jian; Chorlian, David B.; Kamarajan, Chella; Kinreich, Sivan; Pandey, Ashwini K.; Pandey, Gayathri; Saenz de Viteri, Stacey; Acion, Laura; Bauer, Lance; Bucholz, Kathleen K.; Chan, Grace; Chao, Michael; Dick, Danielle M.; Edenberg, Howard J.; Foroud, Tatiana; Goate, Alison; Hesselbrock, Victor; Johnson, Emma C.; Kramer, John; Lai, Dongbing; Plawecki, Martin H.; Salvatore, Jessica E.; Wetherill, Leah; Agrawal, Arpana; Porjesz, Bernice; Meyers, Jacquelyn L.; Medical and Molecular Genetics, School of MedicineResearch has identified clinical, genomic, and neurophysiological markers associated with suicide attempts (SA) among individuals with psychiatric illness. However, there is limited research among those with an alcohol use disorder, despite their disproportionately higher rates of SA. We examined lifetime SA in 4,068 individuals with DSM-IV alcohol dependence from the Collaborative Study on the Genetics of Alcoholism (23% lifetime suicide attempt; 53% female; 17% Admixed African American ancestries; mean age: 38). We 1) explored clinical risk factors associated with SA, 2) conducted a genome-wide association study of SA, 3) examined whether individuals with a SA had elevated polygenic scores for comorbid psychiatric conditions (e.g., alcohol use disorders, lifetime suicide attempt, and depression), and 4) explored differences in electroencephalogram neural functional connectivity between those with and without a SA. One gene-based finding emerged, RFX3 (Regulatory Factor X, located on 9p24.2) which had supporting evidence in prior research of SA among individuals with major depression. Only the polygenic score for suicide attempts was associated with reporting a suicide attempt (OR = 1.20, 95% CI = 1.06, 1.37). Lastly, we observed decreased right hemispheric frontal-parietal theta and decreased interhemispheric temporal-parietal alpha electroencephalogram resting-state coherences among those participants who reported a SA relative to those who did not, but differences were small. Overall, individuals with alcohol dependence who report SA appear to experience a variety of severe comorbidities and elevated polygenic risk for SA. Our results demonstrate the need to further investigate suicide attempts in the presence of substance use disorders.Item Density and Dichotomous Family History Measures of Alcohol Use Disorder as Predictors of Behavioral and Neural Phenotypes: A Comparative Study Across Gender and Race/Ethnicity(Wiley, 2020-03) Pandey, Gayathri; Seay, Michael J.; Meyers, Jacquelyn L.; Chorlian, David B.; Pandey, Ashwini K.; Kamarajan, Chella; Ehrenberg, Morton; Pitti, Daniel; Kinreich, Sivan; de Viteri, Stacey Subbie-Saenz; Acion, Laura; Anokhin, Andrey; Bauer, Lance; Chan, Grace; Edenberg, Howard; Hesselbrock, Victor; Kuperman, Samuel; McCutcheon, Vivia V.; Bucholz, Kathleen K.; Schuckit, Marc; Porjesz, Bernice; Biochemistry and Molecular Biology, School of MedicineBackground: Family history (FH) is an important risk factor for the development of alcohol use disorder (AUD). A variety of dichotomous and density measures of FH have been used to predict alcohol outcomes; yet, a systematic comparison of these FH measures is lacking. We compared 4 density and 4 commonly used dichotomous FH measures and examined variations by gender and race/ethnicity in their associations with age of onset of regular drinking, parietal P3 amplitude to visual target, and likelihood of developing AUD. Methods: Data from the Collaborative Study on the Genetics of Alcoholism (COGA) were utilized to compute the density and dichotomous measures. Only subjects and their family members with DSM-5 AUD diagnostic information obtained through direct interviews using the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) were included in the study. Area under receiver operating characteristic curves were used to compare the diagnostic accuracy of FH measures at classifying DSM-5 AUD diagnosis. Logistic and linear regression models were used to examine associations of FH measures with alcohol outcomes. Results: Density measures had greater diagnostic accuracy at classifying AUD diagnosis, whereas dichotomous measures presented diagnostic accuracy closer to random chance. Both dichotomous and density measures were significantly associated with likelihood of AUD, early onset of regular drinking, and low parietal P3 amplitude, but density measures presented consistently more robust associations. Further, variations in these associations were observed such that among males (vs. females) and Whites (vs. Blacks), associations of alcohol outcomes with density (vs. dichotomous) measures were greater in magnitude. Conclusions: Density (vs. dichotomous) measures seem to present more robust associations with alcohol outcomes. However, associations of dichotomous and density FH measures with different alcohol outcomes (behavioral vs. neural) varied across gender and race/ethnicity. These findings have great applicability for alcohol research examining FH of AUD.Item Deriving a Measure of Social Recovery Capital From the Important People and Activities Instrument: Construction and Psychometric Properties(Oxford University Press, 2022) Francis, Meredith W.; Bourdon, Jessica L.; Chan, Grace; Dick, Danielle M.; Edenberg, Howard J.; Kamarajan, Chella; Kinreich, Sivan; Kramer, John; Kuo, Sally I-Chun; Pandey, Ashwini K.; Pandey, Gayathri; Smith, Rebecca L.; Bucholz, Kathleen K.; McCutcheon, Vivia V.; Psychiatry, School of MedicineAim: This study presents a measure of Social Recovery Capital (SRC) derived from the Important People and Activities instrument (IPA). Methods: The sample comprised young adults who participated in the Collaborative Study on the Genetics of Alcoholism, a high-risk family study of alcohol use disorder (N = 2472). Exploratory and confirmatory factor analysis identified influential items and factor structure, adjusting for family relatedness. The final scale was tested for reliability and validity. Results: Factor analysis retained 10 items loading on three factors (Network Abstinence Behaviors, Basic Network Structure and Network Importance) that together explained 42% of the variance in SRC. The total model showed adequate fit (Comparative Fit Index = 0.95; Tucker Lewis Index = 0.93; Root Mean Square Error of Approximation = 0.06; Standardized Root Mean Squared Residual = 0.05) and acceptable reliability (α = 0.60; McDonald's ω = 0.73) and correlated with validation measures mostly in the weak to moderate range. Due to variable factor scores for reliability and validity, we only recommend using the total score. Conclusion: The SRC-IPA is a novel measure of SRC derived from the IPA that captures social network data and has applications in research and clinical work. Secondary data analyses using the SRC-IPA in studies that collected the IPA can further demonstrate the interaction of SRC with a wide variety of clinical indicators and demographic characteristics, making it a valuable addition to other measures of SRC.Item A Genome Wide Association Study of Interhemispheric Theta EEG Coherence: Implications for Neural Connectivity and Alcohol Use Behavior(Springer Nature, 2021) Meyers, Jacquelyn L.; Zhang, Jian; Chorlian, David B.; Pandey, Ashwini K.; Kamarajan, Chella; Wang, Jen-Chyong; Wetherill, Leah; Lai, Dongbing; Chao, Michael; Chan, Grace; Kinreich, Sivan; Kapoor, Manav; Bertelsen, Sarah; McClintick, Jeanette; Bauer, Lance; Hesselbrock, Victor; Kuperman, Samuel; Kramer, John; Salvatore, Jessica E.; Dick, Danielle M.; Agrawal, Arpana; Foroud, Tatiana; Edenberg, Howard J.; Goate, Alison; Porjesz, Bernice; Medical and Molecular Genetics, School of MedicineAberrant connectivity of large-scale brain networks has been observed among individuals with alcohol use disorders (AUDs) as well as in those at risk, suggesting deficits in neural communication between brain regions in the liability to develop AUD. Electroencephalographical (EEG) coherence, which measures the degree of synchrony between brain regions, may be a useful measure of connectivity patterns in neural networks for studying the genetics of AUD. In 8810 individuals (6644 of European and 2166 of African ancestry) from the Collaborative Study on the Genetics of Alcoholism (COGA), we performed a Multi-Trait Analyses of genome-wide association studies (MTAG) on parietal resting-state theta (3-7 Hz) EEG coherence, which previously have been associated with AUD. We also examined developmental effects of GWAS findings on trajectories of neural connectivity in a longitudinal subsample of 2316 adolescent/young adult offspring from COGA families (ages 12-30) and examined the functional and clinical significance of GWAS variants. Six correlated single nucleotide polymorphisms located in a brain-expressed lincRNA (ENSG00000266213) on chromosome 18q23 were associated with posterior interhemispheric low theta EEG coherence (3-5 Hz). These same variants were also associated with alcohol use behavior and posterior corpus callosum volume, both in a subset of COGA and in the UK Biobank. Analyses in the subsample of COGA offspring indicated that the association of rs12954372 with low theta EEG coherence occurred only in females, most prominently between ages 25 and 30 (p < 2 × 10-9). Converging data provide support for the role of genetic variants on chromosome 18q23 in regulating neural connectivity and alcohol use behavior, potentially via dysregulated myelination. While findings were less robust, genome-wide associations were also observed with rs151174000 and parieto-frontal low theta coherence, rs14429078 and parieto-occipital interhemispheric high theta coherence, and rs116445911 with centro-parietal low theta coherence. These novel genetic findings highlight the utility of the endophenotype approach in enhancing our understanding of mechanisms underlying addiction susceptibility.Item High Polygenic Risk Scores Are Associated With Early Age of Onset of Alcohol Use Disorder in Adolescents and Young Adults at Risk(Elsevier, 2022-10) Nurnberger, John I., Jr.; Wang, Yumin; Zang, Yong; Lai, Dongbing; Wetherill, Leah; Edenberg, Howard J.; Aliev, Fazil; Plawecki, Martin H.; Chorlian, David; Chan, Grace; Bucholz, Kathleen; Bauer, Lance; Kamarajan, Chella; Salvatore, Jessica E.; Kapoor, Manav; Hesselbrock, Victor; Dick, Danielle; Bierut, Laura; McCutcheon, Vivia; Meyers, Jacquelyn L.; Porjesz, Bernice; Kramer, John; Kuperman, Samuel; Kinreich, Sivan; Anokhin, Andrey P.; Collaborative Study on the Genetics of Alcoholism; Psychiatry, School of MedicineBackground Genome-wide association studies have been conducted in alcohol use disorder (AUD), and they permit the use of polygenic risk scores (PRSs), in combination with clinical variables, to predict the onset of AUD in vulnerable populations. Methods A total of 2794 adolescent/young adult subjects from the Collaborative Study on the Genetics of Alcoholism were followed, with clinical assessments every 2 years. Subjects were genotyped using a genome-wide chip. Separate PRS analyses were performed for subjects of European ancestry and African ancestry. Age of onset of DSM-5 AUD was evaluated using the Cox proportional hazard model. Predictive power was assessed using receiver operating characteristic curves and by analysis of the distribution of PRS. Results European ancestry subjects with higher than median PRSs were at greater risk for onset of AUD than subjects with lower than median PRSs (p = 3 × 10–7). Area under the curve for the receiver operating characteristic analysis peaked at 0.88 to 0.95 using PRS plus sex, family history, comorbid disorders, age at first drink, and peer drinking; predictive power was primarily driven by clinical variables. In this high-risk sample, European ancestry subjects with a PRS score in the highest quartile showed a 72% risk for developing AUD and a 35% risk of developing severe AUD (compared with risks of 54% and 16%, respectively, in the lowest quartile). Conclusions Predictive power for PRSs in the extremes of the distribution suggests that these may have future clinical utility. Uncertainties in interpretation at the individual level still preclude current application.Item Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples(Cambridge University Press, 2021) Johnson, Emma C.; Sanchez-Roige, Sandra; Acion, Laura; Adams, Mark J.; Bucholz, Kathleen K.; Chan, Grace; Chao, Michael J.; Chorlian, David B.; Dick, Danielle M.; Edenberg, Howard J.; Foroud, Tatiana; Hayward, Caroline; Heron, Jon; Hesselbrock, Victor; Hickman, Matthew; Kendler, Kenneth S.; Kinreich, Sivan; Kramer, John; Kuo, Sally I-Chun; Kuperman, Samuel; Lai, Dongbing; McIntosh, Andrew M.; Meyers, Jacquelyn L.; Plawecki, Martin H.; Porjesz, Bernice; Porteous, David; Schuckit, Marc A.; Su, Jinni; Zang, Yong; Palmer, Abraham A.; Agrawal, Arpana; Clarke, Toni-Kim; Edwards, Alexis C.; Biochemistry and Molecular Biology, School of MedicineBackground: Studies suggest that alcohol consumption and alcohol use disorders have distinct genetic backgrounds. Methods: We examined whether polygenic risk scores (PRS) for consumption and problem subscales of the Alcohol Use Disorders Identification Test (AUDIT-C, AUDIT-P) in the UK Biobank (UKB; N = 121 630) correlate with alcohol outcomes in four independent samples: an ascertained cohort, the Collaborative Study on the Genetics of Alcoholism (COGA; N = 6850), and population-based cohorts: Avon Longitudinal Study of Parents and Children (ALSPAC; N = 5911), Generation Scotland (GS; N = 17 461), and an independent subset of UKB (N = 245 947). Regression models and survival analyses tested whether the PRS were associated with the alcohol-related outcomes. Results: In COGA, AUDIT-P PRS was associated with alcohol dependence, AUD symptom count, maximum drinks (R2 = 0.47-0.68%, p = 2.0 × 10-8-1.0 × 10-10), and increased likelihood of onset of alcohol dependence (hazard ratio = 1.15, p = 4.7 × 10-8); AUDIT-C PRS was not an independent predictor of any phenotype. In ALSPAC, the AUDIT-C PRS was associated with alcohol dependence (R2 = 0.96%, p = 4.8 × 10-6). In GS, AUDIT-C PRS was a better predictor of weekly alcohol use (R2 = 0.27%, p = 5.5 × 10-11), while AUDIT-P PRS was more associated with problem drinking (R2 = 0.40%, p = 9.0 × 10-7). Lastly, AUDIT-P PRS was associated with ICD-based alcohol-related disorders in the UKB subset (R2 = 0.18%, p < 2.0 × 10-16). Conclusions: AUDIT-P PRS was associated with a range of alcohol-related phenotypes across population-based and ascertained cohorts, while AUDIT-C PRS showed less utility in the ascertained cohort. We show that AUDIT-P is genetically correlated with both use and misuse and demonstrate the influence of ascertainment schemes on PRS analyses.