Focus Areas in the Genomic Medicine Cycle
Major leadership positions

Director, Psychiatric and Neurodevelopmental Genetics Unit, MGH Center for Genomic Medicine

Director, Center for Precision Psychiatry, MGH

Associate Chief for Research Department of Psychiatry, MGH

Director, Omics Unit, MGH Division of Clinical Research

Director, Mass General Brigham Training Program in Precision and Genomic Medicine

President, International Society of Psychiatric Genetics

MGH Unit(s)

Psychiatric and Neurodevelopmental Genetics Unit, MGH Center for Genomic Medicine

Center for Precision Psychiatry, MGH Department of Psychiatry

Overview

  • Genetic Basis of Psychiatric Disorders
  • Integrating Genomic & Neuroscience
  • Precision Medicine & computational health Research

The focus of Dr. Smoller’s research interests has been:

  • Understanding the genetic and environmental determinants of psychiatric disorders across the lifespan.
  • Integrating genomics and neuroscience to unravel how genes affect brain structure and function.
  • Using “big data”, including electronic health records and genomics, to advance precision medicine.

Priority Projects

  1. PsycheMERGE: Leveraging electronic health records and genomics for mental health research. This study aims to leverage resources from the eMERGE Network to phenotypically and genomically validate and harmonize psychiatric phenotypes across multiple disorders, build clinically useful risk surveillance models for mood disorders, and examine whether risk profiles are associated with clinically-relevant health outcomes.
    R01 MH118233 (Smoller/Davis) | 02/15/19-11/30/22 

  2. Understanding the Connections among Genes, Environment, Family Processes and Mental Health. The goal of this project is to examine genetic and environmental predictors of risk and resilience for psychiatric disorders and family outcomes and examine the transethnic effects of previously established risk factors in a long-term community and family panel study in Nepal.

    R01 MH110872 (Axinn/Smoller) | 09/01/17-06/30/22

  3. Improved Multifactorial Prediction of Suicidal Behavior Through Integration of Multiple Datasets.  The goal of this project is to improve existing EHR-based suicide risk prediction models by integrating additional sources of information including sociodemographic data, to create multifactorial predictive models of suicidal behavior risk. 
    R01 MH117599 (Smoller/Reis) | 08/13/18-05/31/23 

  4. eMERGE Phase IV Clinical Center at Partners HealthCare. The team will work on implementation of phenotype algorithms for eMERGE IV, develop new algorithms using EHR data extraction, natural language processing, and machine learning, implement cross-network phenotypes, and provide lineage between genotypes and phenotypes. The team will perform data extraction from the EHR into the Biobank Portal and from there into the OMOP common data model and transfer of data to the Coordinating Center, as well as AnVIL.
    2U01 HG008685 (Karlson, E.W.) | 07/01/20-04/30/25

Lab Members

Name:Email:Role:
Kate Bentley, PhDKBENTLEY [@] mgh.harvard.eduAssistant Professor of Psychology in the Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School
Karmel Choi, PhDKWCHOI [@] mgh.harvard.eduAssistant Professor of Psychology in the Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School
Tian Ge, PhDTGE1 [@] PARTNERS.ORGAssistant Professor of Psychiatry, Massachusetts General Hospital and Harvard Medical School
Christy Dencklacdenckla [@] hsph.harvard.eduAssistant Professor of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health
Lab/Contact Telephone

617-724-0835

Fax

617-726-0830

Primary Email
Lab Website