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This Funding Opportunity Announcement (FOA) seeks to stimulate and expand research on the interplay of genetic and environmental factors in the genesis, course, and outcomes of substance and alcohol use disorders (SUDs). Previous work in genetic epidemiology and molecular genetics has established that SUDs are highly heritable, developmental disorders with important genetic substrates.Building on these findings, new studies using genetically informative approaches are needed to elucidate the complex interplay of genetic and environmental factors in developmental trajectories of SUDs and comorbid conditions, deepen and refine phenotypic definitions of SUDs, and meet the methodologic challenges of the field.Such studies hold great potential to promote understanding of the true contributions of both genetic and environmental factors to initiation, progression, comorbidity, adverse outcomes, and cessation of SUDs; to elucidate mechanisms of risk; and to enhance opportunities for translation to treatment, prevention, gene-finding and molecular studies.

This Funding Opportunity Announcement (FOA) seeks to stimulate and expand research on the interplay of genetic and environmental factors in the genesis, course, and outcomes of substance and alcohol use disorders (SUDs). Previous work in genetic epidemiology and molecular genetics has established that SUDs are highly heritable, developmental disorders with important genetic substrates.Building on these findings, new studies using genetically informative approaches are needed to elucidate the complex interplay of genetic and environmental factors in developmental trajectories of SUDs and comorbid conditions, deepen and refine phenotypic definitions of SUDs, and meet the methodologic challenges of the field.Such studies hold great potential to promote understanding of the true contributions of both genetic and environmental factors to initiation, progression, comorbidity, adverse outcomes, and cessation of SUDs; to elucidate mechanisms of risk; and to enhance opportunities for translation to treatment, prevention, gene-finding and molecular studies.

The Genetics or Epigenetics of Substance Use Disorders Avenir Award program supports early stage investigators proposing highly innovative studies that open new areas of research for the genetics or epigenetics of addiction. These may be novel methods or approaches that can potentially be applied to the analysis of the genetics or epigenetics of addiction. Investigators outside the field of addiction interested in applying their novel approaches to the genetics or epigenetics of addiction are encouraged to apply. The award will support those in an early stage of their career who may lack the preliminary data required for an R01 grant, but who propose high impact research and who show promise of being tomorrow's leaders in the field of genetics or epigenetics of substance use disorders.

The purpose of this funding opportunity announcement (FOA) is to support projects that implement creative, efficient molecular epidemiologic approaches that incorporate individual genetic information, including polygenic as well as specific genetic risk variants, in existing large, population-based cohorts, registries and/or health systems to conduct analyses that advance our understanding of the complex etiology of severe mental disorders. The ultimate objective of this funding opportunity is the elucidation of the complex interplays of genetic (e.g., polygenic) risk, in addition to specific risk loci and networks, and environmental factors, in human populations, which will lead to better understanding, diagnosis, and ultimately treatment of mental disorders.

The ultimate objective of this funding opportunity is the elucidation of the complex interplays of genetic (e.g., polygenic) risk, in addition to specific risk loci and networks, and environmental factors, in human populations, which will lead to better understanding, diagnosis, and ultimately treatment of mental disorders. For a linked set of collaborative R01s, each site has its own Program Director(s)/Principal Investigator(s), and the program provides a mechanism for cross-site coordination and communication. Collaborative studies are appropriate to address research projects that go beyond the capacity of a single-site investigation, particularly to accommodate collaborations among sites with diverse expertise, perspectives, and contributions.?Specifically, the purpose of this funding opportunity announcement (FOA) is to support collaborative R01 projects from multidisciplinary teams that implement creative, efficient molecular epidemiologic approaches that incorporate individual genetic information, including polygenic as well as specific genetic risk variants, in existing large, population-based cohorts, registries and/or health systems to conduct analyses that advance our understanding of the complex etiology of severe mental disorders. Applicants wishing to submit individual l projects should apply to the companion FOA (link).

Through this Funding Opportunity Announcement (FOA), the National Institute of Mental Health (NIMH) seeks applications to develop, sustain, enhance, and enrich a centralized national biorepository for genetic studies of psychiatric disorders for facilitation and acceleration of the scientific understanding of the genetic risk architecture underlying mental disorders. This effort is expected to involve a functionally integrated, multi-disciplinary team that will provide for open sharing of biosamples and data resources through a single, centralized, national resource to advance basic and translational research in the genetics of mental disorders.

The purpose of this Funding Opportunity Announcement (FOA) is to support a consortium of collaborative projects, with a minimum of two sites, that propose to use cutting edge technologies to generate and analyze whole genome sequencing (WGS) data from either case control or family samples in order to elucidate the full genetic architecture underlying susceptibility to severe mental disorders. Insights into the genetic architecture underlying susceptibility to severe mental disorders will be achieved through implementation of state of the art WGS assays and innovative/novel statistical methods.

To allow investigators time to plan and develop applications, the TSCRP is providing its strategic plan for award mechanisms to be offered in 2013 should funding become available. Congressional funds for the FY13 TSCRP have not yet been appropriated, and this document is not to be construed as an obligation by the government; there is no guarantee of funding for these planned mechanisms. Areas of Focus: The FY13 TSCRP encourages research projects applications that specifically address the critical needs of theTSC community in the following areas of focus: Genetic, epigenetic, and non-genetic modifiers of TSC. Identification and development of preclinical models and therapeutic strategies (e.g., cytotoxic agents, combination therapies). Identifying biomarkers for early detection, prognosis, and prediction of treatment outcomes (such as serum markers, imaging, electrophysiology, prenatal testing, and pharmacogenetics). Impact of TSC manifestations in adults (e.g., care management, age-specific pathogenesis, epidemiology, renal, reproductive issues, and lymphangioleiomyomatosis [LAM])). Long-term benefits and effects of mTOR inhibitors or other agents. Novel strategies for diagnosis, treatment, and prevention of TSC manifestations including those geared toward early identification and intervention. Understanding the cellular and molecular mechanisms of TSC and LAM pathogenesis. Understanding the mechanism and improving the treatment of epilepsy in TSC. Understanding the mechanism and improving treatment of TSC-associated neurocognitive disorders (TAND) including cognitive impairment, and psychiatric, behavioral, and sleep disorders.

The purpose of this Funding Opportunity Announcement (FOA) is to support the development of advanced computational, bioinformatic and statistical tools to determine the functional relevance of genetic variants associated with mental disorders of complex etiologies identified through genome-wide association or sequencing studies. The overarching goal of this initiative is to support the development of innovative computational methods that facilitate the elucidation of the functionality of genetic variants associated with mental illness, taking into account the added complexities and nuances of brain diseases, and to ultimately inform the identification and validation of potential targets for novel treatment development. This FOA should be used when two or more sites are needed to complete the study. For a linked set of collaborative R01s, each site must have its own Program Director/Principal Investigator and the set of linked applications provide a mechanism for cross-site coordination, quality control, database management, statistical analysis, and reporting.

The purpose of this FOA is to fund research centers that will establish longitudinal cohorts in rare HLBS diseases to investigate unaddressed research questions using epidemiologic study designs and methods that are appropriate for conditions affecting fewer than 200,000 persons in the US. These observational cohort studies should be designed to provide an evidence base for future interventional studies, including clinical trials; for developing better diagnostics than those that are currently available; for answering early translational questions; or for broader implementation of guidelines for managing these diseases. This program will provide opportunities to advance rare disease research using genetics and deep phenotyping to characterize the disease and to identify disease sub-types; to use data science methods that integrate clinical and patient-reported outcomes (PROs) with laboratory, imaging, environmental and -omics data to understand the natural history of disease; to generate data that differentiate patients with the same morphological phenotype but different genetic mutations and severity of outcomes; to elucidate genotype-phenotype interactions and multisystem phenotyping to develop reliable and valid predictive tools to determine who will respond to which treatments and when to intervene; and to encourage innovative methods such as telemedicine to include participants with rare diseases located in remote locations.

Genome-wide association studies (GWAS) have identified statistical relationships between tens of thousands of common single nucleotide variants and over a thousand traits. Due to the correlated nature of nearby genetic variants, GWAS implicate regions of the genome and do not necessarily pinpoint the causal variant(s), gene(s) or mechanism(s) underlying the trait association. The purpose of this funding opportunity announcement is to support systematic fine-mapping of genome-wide significant risk loci associated with serious mental illnesses through robust statistical genetic and functional genomic approaches.

GENERALLY, WE FUND DISCRETE PROJECTS. Our process and forms are not designed for other types of requests such as donations, operational support, or program support. Grant consideration begins with an initial Online Funding Inquiry (OFI) and, if invited, a detailed Full Proposal. Funding areas include: Natural Sciences Human Sciences Philosophy & Theology Public Engagement Character Virtue Development Exceptional Cognitive Talent & Genius Genetics Voluntary Family Planning

The John Templeton Foundation works to catalyze discoveries relating to the deepest and most perplexing questions facing humankind and supports research on a wide range of subjects, from complexity, evolution, and emergency to creativity, forgiveness, and free will. In support of this mission, the foundation is accepting applications for its Academic Cross-Training Fellowship. With the intent to help equip recently tenured philosophers and theologians with the skills and knowledge needed to study big questions that require substantive and high-level engagement with empirical science, the fellowship will provide up to $220,000 over three years to support systematic and sustained study in an empirical science such as physics, psychology, biology, genetics, cognitive science, neuroscience, or sociology.

The annual program is designed to support research on suicide from a variety of disciplines, including psychiatry, medicine, psychology, genetics, epidemiology, neurobiology, sociology, nursing, health services administration, social work, and many others. Grants of up to $300,000 over two years will be awarded to investigators at any level performing research involving two or more unique sites, with each site contributing unique expertise as well as data collection.

The annual program is designed to support research on suicide from a variety of disciplines, including psychiatry, medicine, psychology, genetics, epidemiology, neurobiology, sociology, nursing, health services administration, social work, and many others. Grants of up to $300,000 over two years will be awarded to investigators at any level performing research involving two or more unique sites, with each site contributing unique expertise as well as data collection.

With the generous support of a grant from the National Institute on Alcohol Abuse and Alcoholism of the National Institutes of Health USA we are pleased to offer stipends in partial support of travel to attend the Fifteenth Annual Meeting of the International Behavioural and Neural Genetics Society (IBANGS).   Travel Stipend Details:          A limited number of stipends are available for graduate students, post-doctoral fellows, and junior faculty members who have held faculty rank for less than 5 years.

The primary objective of this FOA is to stimulate innovative Convergent Neuroscience (CN) approaches to establish causal and/or probabilistic linkages across contiguous levels of analysis (e.g., gene, molecule, cell, circuit, system, behavior) in an explanatory model of psychopathology. In particular, applicants should focus on how specific constituent biological processes at one level of analysis contribute to quantifiable properties at other levels, either directly or as emergent phenomena.  Although not required, it is preferable that applications link at least three levels of analysis and include an emphasis on genetics. The projects under this FOA will develop novel methods, theories, and approaches through a CN team framework, bringing together highly synergistic inter/transdisciplinary teams from neuroscience and "orthogonal" fields (e.g., data/computational science, physics, engineering, mathematics, and environmental sciences). Successful teams will combine, expand upon, or develop conceptual frameworks and theoretical approaches, and build explanatory computational models that connect contiguous levels of analysis. Such frameworks, theories, and computational explanatory models should be validated through experimental approaches to elucidate biological underpinnings of complex behavioral (including cognitive and affective) outcomes in psychopathology. Additionally, a goal of this program is to advance research in CN by creating a shared community framework of resources which may be used by the broader research community to further research, as such, successful team will have robust plan for sharing data and other resources.

The purpose of this Funding Opportunity Announcement (FOA) is to encourage projects to generate fundamental knowledge of affective processes. Basic affective science projects should have key downstream consequences for single (e.g., genetic testing consent) and multiple (e.g., adherence to oral chemotherapy regimen) event decisions and behaviors across the cancer prevention and control continuum. The FOA is expected to encourage scientific disciplines that have not traditionally conducted cancer research such as affective and cognitive neuroscience, decision science, and consumer science to elucidate perplexing and understudied problems in basic affective and decision sciences with promise of having downstream implications for cancer prevention and control science.

This Funding Opportunity Announcement (FOA) is issued by the National Institute of Neurological Disorders and Stroke (NINDS) in conjunction with the NIH Pain Consortium. It solicits R01 grant applications from institutions/organizations to perform innovative research that will elucidate the mechanisms underlying migraine, expand our current knowledge of the role of genetic, physiological, biopsychosocial, and environmental influences in migraine susceptibility and progression, and explore new therapeutic targets and therapies for acute migraine management and longer term prevention.

This Funding Opportunity Announcement (FOA) is issued by the National Institute of Neurological Disorders and Stroke (NINDS) in conjunction with the NIH Pain Consortium. It solicits R21 grant applications from institutions/organizations to perform innovative research that will elucidate the mechanisms underlying migraine, expand our current knowledge of the role of genetic, physiological, biopsychosocial, and environmental influences in migraine susceptibility and progression, and explore new therapeutic targets and therapies for acute migraine management and longer term prevention.

We are interested in proposals that address memory or cognition under normal and pathological conditions. This includes proposals that address mechanisms of memory or cognition at the synaptic, cellular, or behavioral level in animals, including humans.We are particularly interested in proposals that incorporate fundamentally new approaches, as well as those that involve human experimentation. Collaborative and cross-disciplinary applications are encouraged. Projects restricted to the creation of conventional mouse knockouts in candidate disease genes identified by association studies, or to broadly overexpress those genes, are discouraged. In addition, projects to perform genetic interaction screens on disease genes in model organisms (yeast, worm, fly, fish) will not be considered, unless the project includes substantive specific aims that investigate the disease relevance of any new genes so discovered in human or mammalian model systems.