Cross-Disorder Genetics of Psychiatric Disorders: Findings and Methodologic Challenges

Join us on Wednesday, March 11th for the Department of Epidemiology seminar series featuring Dr. Jordan Smoller discussing Cross-Disorder Genetics of Psychiatric Disorders: Findings and Methodologic Challenges.
Abstract: Psychiatric disorders are highly comorbid, heritable, and genetically correlated, raising fundamental questions about the nature of shared versus disorder-specific genetic influences. Large-scale genome-wide association studies and multivariate genetic models now provide compelling evidence for both pervasive pleiotropy and meaningful etiologic differentiation across major psychiatric disorders. This seminar will review key findings from recent cross-disorder genetic analyses including recent work characterizing shared and disorder-specific genetic architecture using multivariate genomic approaches. We will also discuss methodological challenges that complicate cross-disorder inference, including heterogeneity in phenotypic assessment, differences in case and control ascertainment, and selection biases inherent in clinical cohorts, electronic health records, and population biobanks. Addressing these challenges will be important for robust and clinically-meaningful inferences about the underlying structure of psychopathology.
Bio: Dr. Jordan Smoller is a psychiatrist, epidemiologist, and geneticist whose research focus has been understanding the genetic and environmental determinants of psychiatric disorders across the lifespan and using big data to advance precision mental health including improved methods to reduce risk and enhance resilience.
Dr. Smoller is Professor of Psychiatry at Harvard Medical School and Professor in Epidemiology at the Harvard T.H. Chan School of Public Health. At Massachusetts General Hospital, he is the Jerrold F. Rosenbaum Endowed Chair in Psychiatry, Director of the Center for Precision Psychiatry, Director of the Psychiatric and Neurodevelopmental Genetics Unit in the Center for Genomic Medicine, and co-Director of the Center for Suicide Research and Prevention at MGH and Harvard. Dr. Smoller is a Tepper Family MGH Research Scholar and also serves as Director of the Omics Unit of the MGH Division of Clinical Research and co-Director of the Mass General Brigham Training Program in Precision and Genomic Medicine. He is an Associate Member of the Broad Institute and past President of the International Society of Psychiatric Genetics.
He has played a leading role in national and international efforts to advance precision and genomic medicine. He is a Principal Investigator (PI) in the eMERGE (Electronic Medical Records and Genomics) network, founding PI of the PsycheMERGE Consortium and lead PI of the New England Precision Medicine Consortium as part of the NIH All of Us Research Program. He is also co-Chair of the Cross-Disorder Workgroup of the Psychiatric Genomics Consortium (PGC). He is an author of more than 650 scientific publications and is also the author of The Other Side of Normal (HarperCollins/William Morrow, 2012).
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Jordan Smoller, MD, ScD
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Some Recent Results on the Epidemiology of Dementia

Join us on Wednesday, April 1st for the Department of Epidemiology seminar series featuring Dr. David Hunter discussing Some Recent Results on the Epidemiology of Dementia.
Abstract: Studies of the epidemiology of Dementia are complicated by the fact that until recently the two main subtypes – Alzheimer’s Disease and Vascular Dementia could not be readily distinguished clinically, and may have distinct etiologies. Although that has changed somewhat with the advent of PET scans and CSF biomarkers, these are not yet used in routine clinical practice that is reflected in the clinical records that are available in large-scale observational databases such as the UK Biobank. I will discuss some recent collaborative studies in the Department of Population Health at Oxford and elsewhere that both illustrate these issues, and seek to help resolve them.
Bio: David Hunter is the Richard Doll Professor of Epidemiology and Medicine and Director of the Translational Epidemiology Unit at Oxford Population Health, the Nuffield Department of Population Health, University of Oxford, UK. He founded the Program in Genetic Epidemiology and Statistical Genetics at Harvard and was co-chair of the steering committee of the Breast and Prostate Cancer Cohort Consortium at the National Cancer Institute. He was co-director of the NCI Cancer Genetic Susceptibility Markers project focused on genome-wide association studies, and Dean for Academic Affairs and Acting Dean at the Harvard TH Chan School of Public Health. He is the founding Chief Science Advisor of Our Future Health a major new national initiative in the UK that aims to return genomic information to consenting participants. He was elected Fellow of the Academy of Medical Sciences in 2021 and appointed as a Companion of the Order of Australia in the Australian King’s Birthday Honours List in 2023.
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David Hunter, ScD, MPH
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Quality science for quality decisions: The political regulatory cycle and the integrity of benefit cost analysis with Al McGartland, PhD

Please join the Harvard Chan NIEHS Center for Environmental Health and the Department of Environmental Health for a talk by Al McGartland, PhD, of New York University Law School’s Institute for Policy Integrity. Dr. McGartland will discuss “Quality science for quality decisions: The political regulatory cycle and the integrity of benefit cost analysis.”
This event will be held in person (HSPH Bldg. 1, 1302) and via Zoom. Register here
About the speaker
Al McGartland is the director of Economic Policy at New York University Law School’s Institute for Policy Integrity. At Policy Integrity, Al works to improve regulatory economic analyses, integrating law, policy and economics into both research and public commentary.
Al served as the Director of the National Center for Environmental Economics and the lead economist at the U.S. Environmental Protection Agency from 2005 to 2025. In this role, Al advised EPA’s senior leadership on regulatory analyses, science, economics, and environmental policy. He was responsible for insuring EPA’s analyses reflects the latest economic science and developed interdisciplinary risk assessment, benefit assessment, and environmental justice methods to be used in EPA’s regulatory analyses. Al also led the analytic efforts to support U.S. negotiations of the Kyoto Protocol and led the U.S. delegation to the OECD’s Inclusive Forum on Carbon Mitigation Approaches.
Under Al’s leadership, EPA’s National Center for Environmental Economics issued EPA’s Guidelines for Preparing Economic Analyses and conducted numerous studies to assess the benefits and costs of environmental policies. Al also supported numerous interagency and White House initiatives, including projects on the Social Cost of Greenhouse Gases, the Frontiers of Benefit Cost Analysis, and the valuation of reduced health risks from environmental contaminants.
Prior to EPA, Al worked at the Office of Information and Regulatory Affairs in the Office of Management and Budget. Al also served as the economic advisor to the Chairman at the Commodity Futures Trading Commission. He is a Fellow of the Association of Environmental and Resource Economists in recognition of his outstanding contributions to the advancement of the profession of environmental and resource economics. Al is also the recipient of the Society of Benefit Cost Analysis fellow and received two Presidential Rank Awards during his EPA career. He holds a PhD from the University of Maryland in environmental economics. Al has published in numerous journals, including Science, the American Economic Review, the Review of Environmental Economics and Policy, the Canadian Journal of Economics, the Journal of Environmental Management, the medical journal, Lancet, and the Journal of Environmental Economics and Management.
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Brown Bag Seminar: Evidence triangulation in dementia research

Maria Glymour is professor and chair of the department of epidemiology at Boston University School of Public Health. Her research examines how social factors experienced across the life-course, from infancy to adulthood, influence cognitive function, dementia, stroke, and other health outcomes in older adults. A separate theme of her research focuses on overcoming methodological problems encountered in analyses of the social determinants of health, Alzheimer’s disease, and dementia.
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Maria Glymour
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Community-Engaged Research Working Group in Environmental Health

Join the Harvard Chan NIEHS Center’s working group on community-engaged research in environmental health!
This working group brings together faculty, trainees, students, and staff to discuss the methods and practice of conducting community-engaged research with a focus on environmental health.
We’ll meet in person in Building 1, 1302 on February 2, 1-2:00 pm.
February agenda: We will share successes and challenges in our own ongoing community-engaged research, and discuss how we can collaborate in this research field.
Please email niehsctr@hsph.harvard.edu to RSVP!
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Trial Augmentation Using External Data and Models: Toward Harmony Between Observational Studies and Trials

Join us on Wednesday, February 4th for the Department of Epidemiology seminar series featuring Dr. Issa Dahabreh discussing Trial Augmentation Using External Data and Models: Toward Harmony Between Observational Studies and Trials
Abstract: We introduce trial augmentation, a new approach to analyzing randomized trials that leverages external data — either historical experimental data or observational data — to improve trial efficiency without sacrificing the unbiasedness guarantee provided by randomization. We characterize a broad class of randomization-aware estimators that integrate external data through data-adaptive models (e.g., machine learning or generative models), yielding higher efficiency and statistical power than estimators based on trial data alone. Crucially, members of this class exploit randomization to remain unbiased even when the external data are misaligned with the trial population or affected by unmeasured confounding. We show that several widely used estimators, including the efficient trial-only estimator, are special cases within this framework. We further demonstrate how combining two or more randomization-aware estimators yields procedures with two key properties: (1) robustness to misalignment and unmeasured confounding in the external data, and (2) efficiency that is at least as high as, and typically higher than, that of the component estimators. We situate these results within a broader research program aimed at a more harmonious integration of observational analyses and randomized trials.
Bio: Issa Dahabreh, MD ScD is Associate Professor of Epidemiology and Biostatistics at the Harvard T.H. Chan School of Public Health and Section Head for Epidemiology and Data Science at the Smith Center for Outcomes Research at Beth Israel Deaconess Medical Center. His research focuses on the design and analysis of randomized trials and observational studies, with an emphasis on causal inference and evidence synthesis. He also develops statistical methods that integrate diverse data sources to improve decision-making in clinical and public health settings.
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Issa Dahabreh, MD, ScD
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Monday Nutrition Seminar | Understanding Food Loss and Waste: Opportunities and challenges across the food supply chain

Please join the Department of Nutrition for the Monday Nutrition Seminar featuring Edward Spang, PhD, Associate Professor of Food Science and Technology at the University of California, Davis. Dr. Spang’s talk—”Understanding Food Loss and Waste: Opportunities and challenges across the food supply chain”—will take place on January 26 at 1:00pm ET on Zoom (registration is required).
Healthy snacks will be provided, thanks to the generous support of the Office of the Associate Provost for Student Affairs’ Wellbeing Fund.
The Monday Nutrition Seminar Series is free and open to the public. If you plan to attend this event and do not have an active HUID, please fill out the registration form by 3:00pm ET on 1/23/26.
Seminar speakers share their perspectives, they do not speak for Harvard.
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Using Values-Based Storytelling to Shift the Public Health Conversation: A Hands-on Workshop

Storytelling is one of the most powerful tools in health communication—capable of shifting beliefs, building trust, and inspiring action. In this session, led by SBS alum Elissa Scherer (MPH-HSB ’24), we’ll explore why stories stick when facts alone fall flat, and how to harness narrative as a strategy for building community trust and public health impact. Participants will learn how to tell stories about the values that call them to their work and how to craft a narrative-based call-to-action.
This immersive, hands-on workshop is in person only—reserve your spot to join us in the room and leave ready to inspire real-world action.
This seminar is co-sponsored by the Department of Social and Behavioral Sciences and the Center for Health Communication.
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Elissa Scherer
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When and How Best to Use Online Panels for Epidemiologic Research

Join us on Wednesday, March 4th for the Department of Epidemiology seminar series featuring Dr. Ronald Kessler discussing When and How Best to Use Online Panels for Epidemiologic Research.
Abstract: Recent years have seen a sea change in population survey methods, with online panels increasingly replacing traditional in-person and telephone surveys. A small number of vendors now offer “probability-based” online panels, in which households are recruited using probability sampling methods. The Census Bureau’s new Household Trends and Outlook Pulse Survey (HTOPS) is based on such a panel. However, most online panel providers rely on nonprobability, or “opt-in,” samples. Online panels can substantially reduce costs and shorten the time from data collection to results, addressing mounting challenges faced by traditional survey modes. At the same time, they raise important concerns about selection bias and generalizability. This is true even in probability-based panels, which typically have effective response rates in the range 2-5% (i.e., they fail to represent 95-98% of the population). Given that online panels are now a permanent feature of the research landscape, an important question is whether there is a viable middle ground between traditional probability samples and purely opt-in designs. This presentation reviews the approaches that have been proposed to find such a middle ground and describes a hybrid design now being implemented in the new round of the World Mental Health Surveys.
Bio: Ronald Kessler, Ph.D. is the McNeil Family Professor of Health Care Policy at Harvard Medical School. He is a psychiatric epidemiologist whose work involves implementing mental health needs assessment surveys, preventive interventions, and clinical interventions for mental disorders and suicide-related behaviors. His intervention work focuses largely on developing precision intervention rules to get the right interventions to the right patients. He is the Director of the World Mental Health Surveys, a cross-national series of community epidemiological surveys on prevalence and correlates of common mental disorders in 30 countries (https://www.hcp.med.harvard.edu/wmh/). He is also the Harvard Site PI of the Study of Risk and Resilience in Servicemembers (STARRS), a coordinated series of epidemiological and neurobiological studies of social determinants of suicide-related behaviors among US Army soldiers and veterans (https://www.starrs-ls.org/), and of a series of pragmatic trials based on STARRS designed to reduce soldier suicide-related behaviors. Dr. Kessler is the author of over 1000 publications and has for many years been rated the most widely cited researcher in the field of psychiatry according to the Science-wide Author Databases of Standardized Citation Indicators. He is a member of the US National Academy of Sciences, the US National Academy of Medicine, and the American Academy of Arts and Sciences. He earned his Ph.D. in Sociology from New York University, completed a postdoctoral fellowship in psychiatric epidemiology at the University of Wisconsin, and was on the faculty at the University of Michigan before taking his current position at Harvard Medical School in 1995.
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Ronald Kessler, PhD
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Harvard Pop Center Social Demography Seminar: “Can a voice channel improve retention and worker well-being? Evidence from a cluster-randomized trial in U.S. fulfillment centers”

Erin Kelly, PhD, Sloan Distinguished Professor of Work and Organization Studies, MIT Sloan School of Management, presents “Can a voice channel improve retention and worker well-being? Evidence from a cluster-randomized trial in U.S. fulfillment centers.”
The Social Demography Seminar (SDS) series at the Harvard Center for Population and Development Studies provides a lively forum for scholars from across the university to discuss in-progress social scientific and population research. Social demography includes work that uses demographic methods to describe and explain the distribution of social goods across populations. The hybrid series offers presentations on a wide variety of topics such as family, gender, race/ethnicity, population health—including mortality, morbidity, and functional health—inequality, immigration, fertility, and the institutional arrangements that shape and respond to population processes.