Exploring and Exploiting Genetic Risk for Psychiatric Disorders
July 11–16, 2021
Frankfurt am Main, Germany
Joshua A. Gordon and Elisabeth Binder, Chairpersons
Program Advisory Committee
Elisabeth Binder,Max Planck Institute of Psychiatry, Munich, Germany
Joshua A. Gordon, National Institute of Mental Health, Bethesda, MD, U.S.A.
Cathryn Lewis,Division of Genetics and Molecular Medicine, King’s College London, U.K.
Julia Lupp, Ernst Strüngmann Forum, 60438 Frankfurt, Germany
Elise Robinson,Broad Institute, Cambridge, MA, U.S.A.
Stephan Sanders, School of Medicine, University of California, San Francisco, U.S.A.
Nenad Sestan, Department of Neuroscience, Yale University, New Haven, CT, U.S.A.
Goal of the Forum
To identify areas in the translation of genomics to neurobiology where a systematic, consensus-based and collaborative approach to experimental science can help reveal the key neurobiological mechanisms associated with genetic risk for mental illness and foster translation of this knowledge into clinically useful approaches.
Context
The genetic basis of psychiatric illnesses was for decades a mystery despite considerable evidence for heritability. After many failed attempts at hunting for psychiatric risk genes, the realization that psychiatric disorders are polygenic, coupled with collaborative efforts to amass immense samples and characterize them with genome-wide association studies (GWAS), has finally revealed the genetic architecture of schizophrenia, bipolar disorder, depression, and autism, among other diagnoses. Hundreds of risk loci for these disorders have been identified, the vast majority of them being common alleles of very small effect sizes – raising risk by a few percentage points rather than several fold, as in mendelian disorders (even those with incomplete penetrance). Add to these hundreds of common alleles several dozen rare mutations of larger effect sizes (mostly copy number variants with multiple genes deleted or duplicated, with the exception of some monogenic forms of autism with intellectual disability) and you have many clues to the origins of psychiatric disease risk, but very little understanding of how to turn these clues into neurobiological understanding of the chain of events leading to mental illness.
In attempting to forge a pathway leading from this increased genetic understanding through neurobiological understanding to novel therapies, the field faces several important controversies:
- Whether and how to explore additional genetic and non-genetic risk factors.
- How to exploit these genetic clues in order to identify and characterize the underlying molecular, cellular, circuit, and systems-level biology of relevance to psychiatric disorders.
- Whether and how our current genetic understanding can be used in the near term to improve clinical science and clinical practice.
These controversies play out amidst a backdrop of excitement that originates from an explosion of promising new tools in other areas of psychiatric science. These include the development of large datasets (e.g., the UK Biobank, iPSYCH, psychENCODE, and others) and powerful computational approaches to studying them; a plethora of molecular tools to engineer human and animal experimental systems and causally test hypotheses across multiple levels of analysis; and mathematical methods to analyze complex and interacting network phenomenon at the molecular and circuit levels. All of these factors converge upon the possibility that discussions focused on establishing a framework for prioritizing and evaluating progress in furthering the translation of genomics to neurobiology and treatment will be fruitful in the near term.
To this end, the 31st Ernst Strüngmann Forum will bring together experts in epidemiological and statistical genetics, systems biology, experimental and translational neuroscience, and translational and clinical psychiatry to discuss how best to explore and exploit our newfound and hard-won understanding of the genetic risk for psychiatric disorders.
This Forum is supported by the Deutsche Forschungsgemeinschaft
The German Research Foundation

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