Renato Polimanti, PhD, MSc
Associate Professor of PsychiatryCards
About
Titles
Associate Professor of Psychiatry
Associate Professor on Term, Chronic Disease Epidemiology
Biography
Dr. Renato Polimanti is Associate Professor of Psychiatry and of Biomedical Informatics and Data Science at the Yale School of Medicine and Associate Professor of Chronic Disease Epidemiology at the Yale School of Public Health. He is also Associate Director for Scientific and Technical Operations of the Clinical Epidemiology Research Center at the VA Connecticut Healthcare System. Dr. Polimanti’s primary research interest is to apply big data analytics to molecular, clinical, and imaging data to understand the biology and the epidemiology of human traits and disease and to develop tools to improve the healthcare of diverse population groups. His ongoing studies are supported by the National Institutes of Health and the Department of Veterans Affairs. Dr. Polimanti contributed to more than 200 peer-reviewed publications including 42 as first author, 69 as senior author, and two as sole author. His group is also involved in large collaborative projects, including the Psychiatric Genomics Consortium and the Million Veteran Program.
Appointments
Psychiatry
Associate Professor on TermPrimaryBiomedical Informatics & Data Science
Associate Professor on TermSecondaryChronic Disease Epidemiology
Associate Professor on TermSecondary
Other Departments & Organizations
- Biomedical Informatics & Data Science
- Center for Biomedical Data Science
- Center for Brain & Mind Health
- Chronic Disease Epidemiology
- Computational Biology and Biomedical Informatics
- Division of Human Genetics
- Interdepartmental Neuroscience Program
- Molecular Medicine, Pharmacology, and Physiology
- Neuroscience Research Training Program (NRTP)
- Neuroscience Track
- Polimanti Lab
- Program in Translational Biomedicine (PTB)
- Psychiatry
- Slayman House Affiliates
- Wu Tsai Institute
- Yale Center for Genomic Health
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
Education & Training
- Postdoctorate
- Yale University School of Medicine (2016)
- PhD
- University of Rome "Tor Vergata" (2013)
- MSc
- University of Rome "Tor Vergata" (2009)
- BSc
- University of Rome "Tor Vergata" (2008)
Research
Overview
My research focuses on dissecting the epidemiology and biology of neuropsychiatric disorders, behavioral traits, and other complex phenotypes using molecular, clinical, and imaging data to translate Big Data Analytics into improved healthcare for diverse populations.
Main areas of research include:
Internalizing Disorders. My colleagues and I are investigating the predisposition to internalizing disorders and symptoms, integrating genetic information with multi-omics data, brain imaging phenotypes, and electronic health records. Our findings highlighted how pleiotropic mechanisms contribute to disorders across internalizing spectrum through direct, mediated, and interactive effects.
Mental and Physical Health. My group is developing and applying analytic approaches to investigate comorbidities between mental and physical health using large-scale genome-wide datasets and multi-omics information. Our studies uncovered how the interplay among different genomic features and environmental factors contributes to comorbidity risk, symptoms, and prognosis.
Social Determinants of Health. Leveraging large-scale datasets and genetically informed study designs, my colleagues and I contributed to disentangling dynamics by which social determinants of health contribute to the risk of psychiatric disorders and symptoms. Specifically, our findings highlighted how social determinants of health differentially affected mental health outcomes through direct and indirect effects.
Sex Differences. I am leading multiple studies to understand the biological processes contributing to sex differences in psychiatric disorders and other brain-related outcomes using genomic, clinical, and imaging data. These efforts uncovered how sex-specific mechanisms affecting genomic regulatory mechanisms can differentiate the predisposition to pathological conditions in females and males.
Human Evolution. My collaborators and I are developing and applying multiple analytic approaches to integrate evolutionary biology and human genetics, aiming to uncover genetic signatures of population dynamics across human phenome. Our findings highlighted how local adaptation, purifying selection, introgression from archaic humans, and assortative mating can shape the genetic architecture of complex traits in worldwide populations.
Medical Research Interests
Public Health Interests
Academic Achievements & Community Involvement
News & Links
Media
News
- November 25, 2024
Yale Center for the Science of Cannabis and Cannabinoids Announces Inaugural Pilot Award Winners
- September 19, 2024
Yale Scientists Uncover Genetic Predisposition to Anxiety
- August 27, 2024
Deak Receives Two Awards from National Institute on Drug Abuse
- November 01, 2023
Yale Study Finds Genetic Links Between Some Health Conditions and PTSD