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Browsing by Author "Harden, Kathryn Paige"
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Item Item-Level Genome-Wide Association Study of the Alcohol Use Disorders Identification Test in Three Population-Based Cohorts(American Psychiatric Association, 2022) Mallard, Travis T.; Savage, Jeanne E.; Johnson, Emma C.; Huang, Yuye; Edwards, Alexis C.; Hottenga, Jouke J.; Grotzinger, Andrew D.; Gustavson, Daniel E.; Jennings, Mariela V.; Anokhin, Andrey; Dick, Danielle M.; Edenberg, Howard J.; Kramer, John R.; Lai, Dongbing; Meyers, Jacquelyn L.; Pandey, Ashwini K.; Harden, Kathryn Paige; Nivard, Michel G.; de Geus, Eco J. C.; Boomsma, Dorret I.; Agrawal, Arpana; Davis, Lea K.; Clarke, Toni-Kim; Palmer, Abraham A.; Sanchez-Roige, Sandra; Biochemistry and Molecular Biology, School of MedicineObjective: Genome-wide association studies (GWASs) of the Alcohol Use Disorders Identification Test (AUDIT), a 10-item screen for alcohol use disorder (AUD), have elucidated novel loci for alcohol consumption and misuse. However, these studies also revealed that GWASs can be influenced by numerous biases (e.g., measurement error, selection bias), which may have led to inconsistent genetic correlations between alcohol involvement and AUD, as well as paradoxically negative genetic correlations between alcohol involvement and psychiatric disorders and/or medical conditions. The authors used genomic structural equation modeling to elucidate the genetics of alcohol consumption and problematic consequences of alcohol use as measured by AUDIT. Methods: To explore these unexpected differences in genetic correlations, the authors conducted the first item-level and the largest GWAS of AUDIT items (N=160,824) and applied a multivariate framework to mitigate previous biases. Results: The authors identified novel patterns of similarity (and dissimilarity) among the AUDIT items and found evidence of a correlated two-factor structure at the genetic level ("consumption" and "problems," rg=0.80). Moreover, by applying empirically derived weights to each of the AUDIT items, the authors constructed an aggregate measure of alcohol consumption that was strongly associated with alcohol dependence (rg=0.67), moderately associated with several other psychiatric disorders, and no longer positively associated with health and positive socioeconomic outcomes. Lastly, by conducting polygenic analyses in three independent cohorts that differed in their ascertainment and prevalence of AUD, the authors identified novel genetic associations between alcohol consumption, alcohol misuse, and health. Conclusions: This work further emphasizes the value of AUDIT for both clinical and genetic studies of AUD and the importance of using multivariate methods to study genetic associations that are more closely related to AUD.Item Uncovering the genetic architecture of broad antisocial behavior through a genome-wide association study meta-analysis(Springer Nature, 2022) Tielbeek, Jorim J.; Uffelmann, Emil; Williams, Benjamin S.; Colodro-Conde, Lucía; Gagnon, Éloi; Mallard, Travis T.; Levitt, Brandt E.; Jansen, Philip R.; Johansson, Ada; Sallis, Hannah M.; Pistis, Giorgio; Saunders, Gretchen R. B.; Allegrini, Andrea G.; Rimfeld, Kaili; Konte, Bettina; Klein, Marieke; Hartmann, Annette M.; Salvatore, Jessica E.; Nolte, Ilja M.; Demontis, Ditte; Malmberg, Anni L. K.; Burt, S. Alexandra; Savage, Jeanne E.; Sugden, Karen; Poulton, Richie; Mullan Harris, Kathleen; Vrieze, Scott; McGue, Matt; Iacono, William G.; Roth Mota, Nina; Mill, Jonathan; Viana, Joana F.; Mitchell, Brittany L.; Morosoli, Jose J.; Andlauer, Till F. M.; Ouellet-Morin, Isabelle; Tremblay, Richard E.; Côté, Sylvana M.; Gouin, Jean-Philippe; Brendgen, Mara R.; Dionne, Ginette; Vitaro, Frank; Lupton, Michelle K.; Martin, Nicholas G.; COGA Consortium; Spit for Science Working Group; Castelao, Enrique; Räikkönen, Katri; Eriksson, Johan G.; Lahti, Jari; Hartman, Catharina A.; Oldehinkel, Albertine J.; Snieder, Harold; Liu, Hexuan; Preisig, Martin; Whipp, Alyce; Vuoksimaa, Eero; Lu, Yi; Jern, Patrick; Rujescu, Dan; Giegling, Ina; Palviainen, Teemu; Kaprio, Jaakko; Harden, Kathryn Paige; Munafò, Marcus R.; Morneau-Vaillancourt, Geneviève; Plomin, Robert; Viding, Essi; Boutwell, Brian B.; Aliev, Fazil; Dick, Danielle M.; Popma, Arne; Faraone, Stephen V.; Børglum, Anders D.; Medland, Sarah E.; Franke, Barbara; Boivin, Michel; Pingault, Jean-Baptiste; Glennon, Jeffrey C.; Barnes, J. C.; Fisher, Simon E.; Moffitt, Terrie E.; Caspi, Avshalom; Polderman, Tinca J. C.; Posthuma, Danielle; Medical and Molecular Genetics, School of MedicineDespite the substantial heritability of antisocial behavior (ASB), specific genetic variants robustly associated with the trait have not been identified. The present study by the Broad Antisocial Behavior Consortium (BroadABC) meta-analyzed data from 28 discovery samples (N = 85,359) and five independent replication samples (N = 8058) with genotypic data and broad measures of ASB. We identified the first significant genetic associations with broad ASB, involving common intronic variants in the forkhead box protein P2 (FOXP2) gene (lead SNP rs12536335, p = 6.32 × 10-10). Furthermore, we observed intronic variation in Foxp2 and one of its targets (Cntnap2) distinguishing a mouse model of pathological aggression (BALB/cJ strain) from controls (BALB/cByJ strain). Polygenic risk score (PRS) analyses in independent samples revealed that the genetic risk for ASB was associated with several antisocial outcomes across the lifespan, including diagnosis of conduct disorder, official criminal convictions, and trajectories of antisocial development. We found substantial genetic correlations of ASB with mental health (depression rg = 0.63, insomnia rg = 0.47), physical health (overweight rg = 0.19, waist-to-hip ratio rg = 0.32), smoking (rg = 0.54), cognitive ability (intelligence rg = -0.40), educational attainment (years of schooling rg = -0.46) and reproductive traits (age at first birth rg = -0.58, father's age at death rg = -0.54). Our findings provide a starting point toward identifying critical biosocial risk mechanisms for the development of ASB.