Renato Polimanti, PhD, MSc
Associate Professor of PsychiatryCards
About
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
YC-SCAN2 May 2026 Webinar
This webinar featured presentations by Dr. Rachel Rabin (McGill University) and Dr. Renato Polimanti (Yale School of Medicine) on emerging research in cannabis use and cannabis use disorder. Dr. Rabin highlighted findings showing that individuals who co-use cannabis and tobacco experience more severe and prolonged withdrawal symptoms during abstinence, with notable sex differences suggesting females may have more variable and extended withdrawal trajectories influenced by hormonal factors. Dr. Polimanti presented research integrating genomics and brain imaging data from the UK Biobank, identifying distinct genetic and neural connectivity patterns associated with cannabis use, particularly within networks involved in cognitive control, salience processing, and default mode functioning. Together, the presentations underscored the importance of understanding biological and individual differences in cannabis-related outcomes and highlighted the endocannabinoid system as a promising target for future therapeutic interventions.
News
- April 29, 2026
Largest-Ever Genetic Study of Endometriosis Uncovers 80 Risk Regions and New Avenues for Treatment
- May 27, 2025
Yale Scientists Uncover Sex Differences in Recalling and Reporting of Family History of Alzheimer’s Disease
- May 12, 2025
Cabrera-Mendoza Awarded MQ Mental Health Research Grant
- February 05, 2025
Traumatic Experiences and Adverse Events Contribute to the Endometriosis Pathogenesis
Get In Touch
Contacts
Locations
Temple Medical Center (60 Temple)
Lab
60 Temple Street, Ste 7A
New Haven, CT 06510
General Information
203.737.6391