Jordan Smoller, M.D., Sc.D.
Genetic Dissection of Anxious Temperament
The major goal of this project is to identify genetic influences on behavioral inhibition a temperamental profile linked to anxiety and mood disorders. Methods include family-based association analysis and linkage disequilibrium studies of candidate loci derived from mouse models of anxious temperament.
Genetic Determinants of Behavioral Inhibition
The goal of this study is to identify genes that influence the temperamental phenotype of behavioral inhibition to the unfamiliar, a familial and developmental risk factor for anxiety disorders. Statistical modeling techniques are applied to data collected in a large sample of children assessed for BI and their families to optimize the definition of the behavioral inhibition phenotype for genetic studies. Family-based association methods are used to examine the role of specific genes focusing on genes that have been previously implicated in anxiety and temperament in experimental animal models and in studies of anxiety disorders.
Genetic Determinants of Bipolar Disorder
The goal of this project is to identify genes that influence bipolar disorder by locating positional candidate loci through genome scan meta-analyses and then performing deep haplotype and linkage disequilibrium mapping of linked regions in both case-control and family-based samples. The study is funded by grants from the National Institute of Mental Health to three centers: Massachusetts General Hospital (Principal Investigator: Dr. Smoller), the Broad Institute (Principal Investigator: Pamela Sklar, MD, PhD), and the University of Pittsburgh (Principal Investigator: Vishwajit Nimgaonkar, MD, PhD).
Genetic Association Study of Mood Disorders
The goal of this study is to identify susceptibility loci for bipolar disorder and major depression through case-control association analyses of candidate loci.
Genetic Study of Temperament in Children at Risk for Depression and ADHD
This study is designed to identify genes and gene-environment interactions that may influence the development of mood disorders, anxiety disorders, and attention-deficit hyperactivity disorder (ADHD) by examining the genetic basis of temperamental profiles that appear to be heritable risk factors for these disorders. The study utilizes family-based linkage disequilibrium methods combined with gene-environment analyses to identify factors influencing risk for these disorders.
Genome-Wide Association Study of Treatment-Resistant Depression
The goal of this study is to combine novel informatics and genomewide association analysis to identify genetic variants that predict treatment response in major depressive disorder.
International Cohort Collection for Bipolar Disorder
The purposes of this study are twofold. The first aim is to collect a large cohort of BPD cases (N = 9000) and unaffected controls (N = 9000) over five years at two U.S. sites using high-throughput phenotyping methods. The second aim is to construct a harmonized data resource for genetic studies combining phenotypic data from the U.S. case-control sample with a parallel, separately funded European case-control sample (10,000 cases and 10,000 controls) obtained from the UK (Nick Craddock, PI) and Sweden (Mikael Landen, PI). The study is sponsored by the National Institutes of Mental Health.
Using Genetics to Dissect Schizophrenia, Bipolar Disorder, and Depression
The aims of the study are to 1) create a composite phenotypic database from large cohorts [the CATIE study of schizophrenia (N = 770), the STEP-BD study of bipolar disorder (N = 2090), the STAR*D study of depression (N = 1953), and a large sample of screened controls (N = 2000)], and derive key phenotypic variables for genetic analyses; 2) genotype 768 SNPs in 15 genes selected for having the strongest prior probability of involvement in the mood- and psychosis-related phenotypes; 3) perform analyses to determine whether phenotypic effects of these genes (a) support nosologic distinctions among psychotic and mood disorders and (b) influence clinical features (psychosis, suicidality) and functional outcomes independent of diagnosis.