14 Result(s)
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Andrew D. Grotzinger
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Article
Partitioning the Genomic Components of Behavioral Disinhibition and Substance Use (Disorder) Using Genomic Structural Equation Modeling
Externalizing behaviors encompass manifestations of risk-taking, self-regulation, aggression, sensation-/reward-seeking, and impulsivity. Externalizing research often includes substance use (SUB), substance us...
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Beyond the factor indeterminacy problem using genome-wide association data
Latent factors, such as general intelligence, depression and risk tolerance, are invoked in nearly all social science research where a construct is measured via aggregation of symptoms, question responses or o...
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Genetic insights into human cortical organization and development through genome-wide analyses of 2,347 neuroimaging phenotypes
Our understanding of the genetics of the human cerebral cortex is limited both in terms of the diversity and the anatomical granularity of brain structural phenotypes. Here we conducted a genome-wide associati...
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Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders
Genetic liability to substance use disorders can be parsed into loci that confer general or substance-specific addiction risk. We report a multivariate genome-wide association meta-analysis that disaggregates ...
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Open AccessMultivariate genomic architecture of cortical thickness and surface area at multiple levels of analysis
Recent work in imaging genetics suggests high levels of genetic overlap within cortical regions for cortical thickness (CT) and surface area (SA). We model this multivariate system of genetic relationships by ...
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Open AccessTranscriptome-wide and stratified genomic structural equation modeling identify neurobiological pathways shared across diverse cognitive traits
Functional genomic methods are needed that consider multiple genetically correlated traits. Here we develop and validate Transcriptome-wide Structural Equation Modeling (T-SEM), a multivariate method for study...
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Open AccessGenetic associations with learning over 100 days of practice
Cognitive performance is both heritable and sensitive to environmental inputs and sustained practice over time. However, it is currently unclear how genetic effects on cognitive performance change over the cou...
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Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis
We interrogate the joint genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis. We identify four broad factors (neurodevelopmental...
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Symptom-level modelling unravels the shared genetic architecture of anxiety and depression
Depression and anxiety are highly prevalent and comorbid psychiatric traits that cause considerable burden worldwide. Here we use factor analysis and genomic structural equation modelling to investigate the ge...
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Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction
Behaviors and disorders related to self-regulation, such as substance use, antisocial behavior and attention-deficit/hyperactivity disorder, are collectively referred to as externalizing and have shared geneti...
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Article
Weak and uneven associations of home, neighborhood, and school environments with stress hormone output across multiple timescales
The progression of lifelong trajectories of socioeconomic inequalities in health and mortality begins in childhood. Dysregulation in cortisol, a stress hormone that is the primary output of the hypothalamus–pi...
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A general dimension of genetic sharing across diverse cognitive traits inferred from molecular data
It has been known since 1904 that, in humans, diverse cognitive traits are positively intercorrelated. This forms the basis for the general factor of intelligence (g). Here, we directly test whether there is a pa...
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Investigating the genetic architecture of noncognitive skills using GWAS-by-subtraction
Little is known about the genetic architecture of traits affecting educational attainment other than cognitive ability. We used genomic structural equation modeling and prior genome-wide association studies (G...
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Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits
Genetic correlations estimated from genome-wide association studies (GWASs) reveal pervasive pleiotropy across a wide variety of phenotypes. We introduce genomic structural equation modelling (genomic SEM): a ...
