Research and Training Funding

Funding Opportunity Announcements

Browse below for Data Science Funding Opportunity Announcements.

This page last reviewed on August 7, 2019

Feed last updated: September 25 2020 10:41 pm
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
NCI Request for Information (RFI): Input on Development of the NCI Imaging Data Commons NOT-CA-18-060 NCI Apr 03 2018 N/A NCI Request Information RFI): Input Development the NCI Imaging Data Commons Notice Number: NOT-CA-18-060 Key Dates Release Date: April 3, 2018 Related Announcements None Issued National Cancer Institute NCI) Purpose Request Information RFI) seeks public input ideas the proposed development an Imaging Data Commons IDC), cloud-based image repository, analytical workspace key component the NCI’s Cancer Research Data Commons CRDC). Background Biomedical research increasingly becoming data-intensive enterprise, siloing both data analytics prevents full utilization available resources. NCI initiated development the Cancer Research Data Commons CRDC), cloud-based data science infrastructure provide access cancer research data collections to scalable computing resources tools. Building upon experience gained developing Genomic Data Commons the Cancer Genomics Cloud Pilots, NCI proposing Imaging Data Commons IDC) a critical component the CRDC. IDC be repository collaborative workspace storing, viewing, analyzing, sharing cancer-related images associated metadata disciplines such radiology, pathology, cellular/molecular imaging. will also provide APIs enable deployment new existing analytic tools image analysis. is crucial the IDC support needs the cancer research community provide services are maximum value. wish engage potential users the Imaging Data Commons, spanning spectrum bench scientists software tool developers clinical researchers, hear requirements, concerns, ideas what data functionality IDC should encompass. input help drive initial design future development the IDC. thoughts crucial the success the IDC. Information Requested ensure the Imaging Data Commons meets needs the cancer imaging community, NCI seeking input current needs challenges faced sharing, accessing, utilizing imaging data. includes different imaging data types generated, stored, structured, accessed, analyzed. Areas interest include, are limited to, following: Data Types imaging data used research. Instruments, protocols, pipelines used create image data. Repositories used storage, sharing, retrieval image data. Existing repository access issues.   Mandated repositories deposition generated image data. Need simultaneous access publicly available data conjunction private data. Issues encountered data submission repositories. Formats required image data for metadata. Strengths weaknesses pipelines used data metadata submission, quality control, de-identification. Analysis Tools workflows used image analysis. Importance tool categories research: User-supplied tools pipelines analysis. Validating, assessing, using tools provided through platform. Collaborative tools visualization analysis. Saving sharing analytical results. Additional features important image analysis work. Computing resources Familiarity cloud-based computing resources. Familiarity scalable high-performance computing resources image analysis. Issues encountered analyses due computational resource limitations time, cost, etc.).   Submitting Response responses must submitted NCIIDCRFI@mail.nih.gov May 4, 2018. Please include Notice number/RFI number here the subject line. Responders free address any all the categories listed above. Please as specific possible. Please also include area expertise interest cancer imaging. submitted information be reviewed NIH staff. Responses this RFI voluntary. Please not include any proprietary, classified, confidential, sensitive information your response. NIH use information submitted response this RFI its discretion will provide comments any responder's submission. collected information be reviewed NIH staff, appear reports, may shared publicly an NIH website. Government reserves right use any non-proprietary technical information summaries the state the science, any resultant solicitation(s). NIH use information gathered this RFI inform development future funding opportunity announcements. RFI for information planning purposes only should be construed a solicitation as obligation the part the Federal Government, National Institutes Health NIH), individual NIH Institutes Centers. NIH does intend make any awards based responses this RFI to otherwise pay preparation any information submitted for Government's of such information. basis claims against U.S. Government shall arise a result a response this request information from Government’s of such information. Inquiries Please direct inquiries to: Stephen Jett, Ph.D. Center Biomedical Informatics Information Technology CBIIT) National Cancer Institute NCI) Telephone: 240-276-5537 Email: NCIIDCRFI@mail.nih.gov data science, computational, informatics
NCI Request for Information (RFI): Input on Development of an NCI Cancer Biomarker Data Aggregator NOT-CA-18-095 NCI Jul 23 2018 N/A NCI Request Information RFI): Input Development an NCI Cancer Biomarker Data Aggregator Notice Number: NOT-CA-18-095 Key Dates Release Date: July 23, 2018 Response Date: October 20, 2018 Related Announcements None Issued National Cancer Institute NCI) Purpose Request Information RFI) seeks public input opinions the proposed development a Cancer Biomarker Data Aggregator CBAG), federated data system a crucial clinically-oriented node the NCI’s Cancer Research Data Commons CRDC). Background Powered recent advancements high throughput technologies, biomarker research considered of most data-intensive areas cancer research. biomarker development process involves aggregation massive amounts complex, multi-modal data such gene expression, cell types, imaging, protein counts used conjunction clinical information prior knowledge. find links between potential biomarkers disease phenotypes, multitude analytical approaches data modeling machine learning, model selection, simulation techniques, performance analysis been developed employed. Nonetheless, despite considerable success the preclinical setting, majority biomarker-based tests yet demonstrate clinical validity clinical utility, especially the area risk assessment, early detection, diagnosis cancer, where bar test performance set increasingly high. of fundamental challenges biomarker discovery validation the lack an efficient data infrastructure. Such infrastructure facilitate annotation well the secondary of high-value datasets biomarker selection new indications, validation meta-analysis, benchmarking selection algorithms, post-market test surveillance, and, ultimately, assembling evidence jigsaw clinical utility specific biomarkers tests patient populations.        Recently, NCI initiated development the Cancer Research Data Commons CRDC) facilitate access essential datasets, computing resources, tools. Using experience gained these efforts, NCI now proposing pilot Cancer Biomarker Data Aggregator CBAG) a node the CRDC test different ways accelerate biomarker research its translation clinically useful tests. primary goal the proposed node be provide streamlined access relevant tools, services, curated information biomarkers potential clinical utility risk assessment, early detection, diagnosis cancer. this capacity, CBAG complement CRDC nodes well commercial databases such BiomarkerBase Gobiom, are focused chiefly biomarkers treatment response therapeutic target discovery. ensure the pilot CBAG support needs the cancer research community advance biomarker discovery development, wish engage potential CBAG users academia, industry, government, private organizations. Information Requested NCI interested soliciting suggestions opinions regarding scope, cases, clinical needs, priority areas the pilot CBAG should focus to accelerate development biomarkers tests risk assessment early detection cancer. Areas interest include are limited the following: cases such leveraging data longitudinal studies containing biomarkers putative clinical utility hereditary, familial, sporadic cancers be included the pilot node Examples secondary data uses such selection biomarkers new indications, model selection, development, comparison, well training education Challenges related sharing, harmonization, curation biomarker data metadata Challenges related mining integrating biomarker data prior knowledge the literature, free-text clinicians notes, public knowledgebases   Inclusion/exclusion criteria pilot data collections such data annotation quality, study design, sample size, pre-diagnostic specimens, patient-level metadata Incentives biomarker data sharing, annotation, standard adoption including crowdsourcing competitions, data citations usage statistics, open-data badges papers, tokens services access other datasets Incentives collaborative analytics annotation using machine learning, Natural Language Processing, statistical modeling, simulation techniques, performance analysis tools biomarkers tests Submitting Response responses must submitted to natalie.abrams@nih.gov October 20, 2018. Please include Notice number/RFI number here the subject line. Please as specific possible, provide examples data support suggestions, prioritize comments, include new ideas relevant the question being asked. Please not include any proprietary, classified, confidential, sensitive information your response. NIH use information submitted response this RFI its discretion will provide comments any responder's submission. NIH use information gathered this RFI inform development future funding opportunity announcements in any resultant solicitations. RFI for information planning purposes only should be construed a solicitation as obligation the part the Federal Government, National Institutes Health NIH), individual NIH Institutes Centers. NIH does intend make any awards based responses this RFI to otherwise pay preparation any information submitted for Government's of such information. basis claims against U.S. Government shall arise a result a response this request information from Government’s of such information. Responses be aggregated may shared publicly. References 1] NCI Cancer Research Data Commons CRDC)  2] NCI Genomic Data Commons GDC) 3] NIH Strategic Plan Data Science 4] NIH Genomic Data Sharing Policy NOT-OD-14-124) 5] NIH Notice Use Cloud Computing Services Storage Analysis Controlled-Access Data Subject the NIH Genomic Data Sharing Policy NOT-OD-15-086) 6] NCI Cancer Immunologic Data Commons RFA-CA-17-006) 7] Input Development the NCI Imaging Data Commons NOT-CA-18-060) 8] NCI Strategies Matching Patients Clinical Trials NOT-CA-18-063) 9] NIH Biomedical Data Translator NOT-TR-17-023) 10] Secondary Analysis Integration Existing Data Elucidate Genetic Architecture Cancer Risk Related Outcomes PA-17-239) Inquiries Please direct inquiries to: general inquiries regarding early detection risk assessment cancer, please contact: Sudhir Srivastava, MPH, PhD National Cancer Institute Telephone: 240-276-7028 Email: srivasts@mail.nih.gov inquiries specifically related this RFI, contact: Natalie Abrams, PhD National Cancer Institute Telephone: 240-276-5506 Email: natalie.abrams@nih.gov data science, machine learning, natural language processing, statistics, statistical modeling
NCI Pathway to Independence Award for Outstanding Early Stage Postdoctoral Researchers (K99/R00 Independent Clinical Trial Required) RFA-CA-20-015 NCI Nov 19 2019 Feb 27 2020 The purpose of the NCI Pathway to Independence Award for Outstanding Early Stage Postdoctoral Fellows (K99/R00) program is to increase and maintain a strong cohort of new and talented, NCI-supported, independent investigators. This program is designed for postdoctoral fellows with research and/or clinical doctoral degrees who do not require an extended period of mentored research training beyond their doctoral degrees. The objective of this award is to facilitate a timely transition of these fellows from their mentored, postdoctoral research positions to independent, tenure-track or equivalent faculty positions. The program will provide independent NCI research support during this transition to help awardees to launch competitive, independent research careers. Researchers in the scientific areas of data science and cancer control science are especially encouraged to apply. This Funding Opportunity Announcement (FOA) is designed specifically for applicants proposing to serve as the lead investigator of an independent clinical trial, a clinical trial feasibility study, or an ancillary clinical trial, as part of their research and career development. Applicants not planning an independent clinical trial, or proposing to gain research experience in a clinical trial led by another investigator, must apply to companion FOA (RFA-CA-19-014).
NCI Pathway to Independence Award for Outstanding Early Stage Postdoctoral Researchers (K99/R00 Independent Clinical Trial Not Allowed) RFA-CA-20-014 NCI Nov 19 2019 Feb 27 2020 The purpose of the NCI Pathway to Independence Award for Outstanding Early Stage Postdoctoral Fellows (K99/R00) program is to increase and maintain a strong cohort of new and talented, NCI-supported, independent investigators. This program is designed for postdoctoral fellows with research and/or clinical doctoral degrees who do not require an extended period of mentored research training beyond their doctoral degrees. The objective of this award is to facilitate a timely transition of these fellows from their mentored, postdoctoral research positions to independent, tenure-track or equivalent faculty positions. The program will provide independent NCI research support during this transition to help awardees to launch competitive, independent research careers. Researchers in the scientific areas of data science and cancer control science are especially encouraged to apply. This Funding Opportunity Announcement (FOA) is designed specifically for applicants proposing research that does not involve leading an independent clinical trial, a clinical trial feasibility study, or an ancillary clinical trial. Applicants to this FOA are permitted to propose research experience in a clinical trial led by a mentor or co-mentor. Applicants proposing a clinical trial or an ancillary clinical trial as lead investigator, should apply to the companion FOA (RFA-CA-20-015).
National Science Foundation - National Institutes of Health NSF-NIH Interagency Initiative: Smart and Connected Health NOT-OD-18-149 NIH Mar 08 2018 N/A National Science Foundation - National Institutes Health NSF-NIH Interagency Initiative: Smart Connected Health Notice Number: NOT-OD-18-149 Key Dates Release Date: March 9, 2018 Related Announcements NOT-NS-18-052 NOT-AT-18-012 - April 13, 2018 Issued Office Behavioral Social Sciences Research OBSSR) National Cancer Institute NCI) National Human Genome Research Institute NHGRI) National Institute Aging NIA) National Institute Alcohol Abuse Alcoholism NIAAA) National Institute Biomedical Imaging Bioengineering NIBIB) National Institute Mental Health NIMH) National Institute Neurological Disorders Stroke NINDS) National Library Medicine NLM) Purpose Institutes Centers the National Institutes Health NIH) the National Science Foundation NSF) identified Smart Connected Health a program focus. The purpose this interagency program solicitation the development technologies, analytics models supporting next generation health medical research through high-risk, high-reward advances computer information science, engineering technology, behavior, cognition, robotics imaging. Collaborations between academic, industry, other organizations strongly encouraged establish better linkages between fundamental science, medicine healthcare practice technology development, deployment use. solicitation aligned previous reports the President's Council Advisors Science Technology others calling new partnerships facilitate major changes health medicine, well healthcare delivery is aimed the fundamental research enable changes. Realizing promise disruptive transformation health, medicine healthcare require well-coordinated, multi-disciplinary approaches draw the computer information sciences, engineering, social, behavioral, economic sciences, medical health research biology. following be considered response NSF's solicitation NSF-18-541: Integrative Projects: Multi-disciplinary teams spanning 2 4 years may receive NIH support 300,000 total costs per year. Scientists engineers all disciplines encouraged participate. Application submission through National Science Foundation via solicitation NSF-18-541. Following jointly conducted initial peer review these applications, likely NIH awardees applications be forwarded NIH processing. general interests the participating NIH Institute organizations outlined below: National Cancer Institute NCI) NCI interested funding research centered the smart connected health technologies facilitate efficient effective collection, flow, use health information improve cancer outcomes. governing documents especially relevant guide research endeavors the area. First a report produced the President’s Cancer Panel, legislatively mandated oversight committee, titled: “Improving Cancer-Related Outcomes Connected Health: Report the President the United States the President’s Cancer Panel.” Second the NCI’s Cancer Moonshot SM Blue Ribbon Panel Report priorities accomplishing five years might otherwise taken ten. From two reports, following priorities relevant the SCH initiative: Improve understanding how connected health technologies optimize team performance through better support distributed cognition between members the patient’s virtual care team inclusive the patient patient’s caregivers) co-producers positive health outcomes across continuum care prevention, early detection, treatment, survivorship, end-of-life. Identify strategies enhance individuals’ engagement their healthcare through smart connected support structures, including ability manage symptoms adverse events during treatment. Develop approaches using data connected devices – including biosensors, home monitoring devices, smartphones, wearable technologies – meaningful ways enhance clinical care to support faster cures.  Create building blocks a national data ecosystem sharing analyzing cancer data that researchers, clinicians, patients be able contribute data benefit actionable data analytics.  Develop intelligent data mining tools predicting patients’ responses treatment based a retrospective analysis patients’ clinical, specimen, genomic data. Utilize health information technologies enhance cancer surveillance the benefit local, regional, national efforts improve health outcomes equitably across populations. National Human Genome Research Institute NHGRI) NHGRI encourages research related genomic medicine. Such research include, not limited to: methods algorithms aggregation multi-scale clinical genomic data a patient electronic health records EHRs) personal health records PHRs) decision support tools facilitate optimized patient-centered, evidence-based decisions utilizing genomic data human-computer interfaces clinician, patient, family access genomic information EHRs PHRs. National Institute Aging NIA) NIA specifically interested applications improve quality life health individuals Alzheimer's Disease AD) Alzheimer's Disease Related Dementia ADRD) and/or family care providers, a special focus diverse underrepresented populations, including older adults living alone. Additionally, efforts address the SCH program might begin address prediction cognitive other decline everyday function may predict detect earliest indicators dementia be interest. National Institute Alcohol Abuse Alcoholism NIAAA) technology e.g. EMA, brain imaging, biosensors) innovative statistical methods e.g., machine learning, systems science dynamic models) appropriate analysis big data” i.e., time intensive, multisource data) inform our understanding mechanisms underlying problematic alcohol use. Development improvement a portable, affordable, inconspicuous, user-friendly device/technique enhance medication adherence. Develop, improve, validate ecological momentary assessment EMA) methods capturing, integrating analyzing real-time multi-source data related alcohol including sensor integration modeling behavioral processes. Devise novel methods e.g., Web-mining software social networking sites) capture social network information among groups risk alcohol disorder high-risk drinking. National Institute Biomedical Imaging Bioengineering NIBIB) mission NIBIB to improve health leading development accelerating application biomedical technologies. NIBIB broad interests the development biomedical technologies improve human health address health disparities. Program areas particular relevance include: health information technologies, telehealth, mHealth, point-of-care technologies, rehabilitation engineering, robotics, next generation predictive models. Institute interested the development novel technologies in advances enable effective utilization new existing technologies. National Institute Neurological Disorders Stroke NINDS) Within goals this FOA, NINDS particularly interested research advances technologies systems the potential decrease burden neurological disorders stroke. Examples areas interest include development validation invasive non-invasive devices, diagnostic/monitoring tools, advanced imaging techniques, computational models, tissue engineering, other innovative methods. National Library Medicine NLM) NLM interested the development technologies, analytics models utilize novel informatics data science approaches help individuals gather, manage use data information their personal health. bring benefits big data research consumers patients, new biomedical informatics data science approaches needed, shaped meet needs consumers patients, whose health literacy, language skills, technical sophistication, education cultural traditions affect they find, understand use personal health information. Novel data science approaches needed help individuals every step, harvesting storing using data information a personal health library. approaches should support FAIR Findable, Accessible, Interoperable, Reusable) principles data management. National Institute Mental Health NIMH) NIMH interested supporting development novel technologies improve understanding treatment mental illness. NIMH encourages research consistent the NAMHC workgroup report Opportunities Challenges Developing Information Technologies Behavioral Social Science Clinical Research” improve early detection mental illness improve access, continuity, quality, equity, value care. NIMH priorities include: Deep phenotyping through development technologies capture analyze fine-grained, multimodal data individuals mental disorders healthy controls, the purpose identifying novel biological behavioral patterns can 1) add our understanding specific mental health constructs domains function; 2) reveal causal links between environmental factors mental functions; 3) uncover developmental trajectories; (4) better predict outcomes; 5) improve specificity timeliness clinical interventions. Technologies interest NIMH include, are limited to: Sensors tailored infer subjective mental states e.g. mood, thought process, risk self-harm, abnormal perceptions) objectively observable behaviors e.g. speech, movement, social interactions). Sensors adapted monitor mental health related outcomes across lifespan, special populations, within diverse settings e.g. young children, geriatric populations, nonverbal individuals, assisted living environments). Platforms the delivery nonpharmacological interventions e.g. cognitive behavioral, psychosocial, stimulation-based) real-world settings. Technology allowing simultaneous, temporally synchronized neurophysiology measurements quantification behavior, high spatial temporal precision, using either invasive noninvasive methods, toward long-term goal closing loop between real-time behavioral measurements delivery targeted interventions real-world settings. Sensors measure outcomes mental health interventions, including demonstrations sensitivity change correspondence conventional clinical assessments. Technologies targeting improvements mental health care delivery systems, including: Methods harmonize analyze electronic health record EHR) data across multiple systems, especially low base-rate events/conditions are difficult identify, treat, and/or manage e.g., suicide). Application big data’ analytics and/or algorithm development EHRs inform real-time clinical decision making measurement-based care associated the delivery mental health services. Technology platforms include real-time of disease registries, measurement-based care, feedback systems, quality improvement processes part a continuously learning healthcare system. Research improve designs, measures, statistical approaches support testing system improvement efforts, including information communication technologies. Technology platforms can utilized across range systems e.g., primary care, schools, criminal justice system, child welfare agencies) optimize delivery effective mental health interventions. Development innovative technologies facilitate adoption, implementation, sustainability, scalability best practices, conversely, technologies de-implement low value mental health services. Inquiries Please direct inquiries to: Brad Hesse, PhD National Cancer Institute NCI) Telephone: 240-276-6721 Email: hesseb@mail.nih.gov Anastasia L. Wise, PhD National Human Genome Research Institute NHGRI) Telephone: 301-480-3517 Email: anastasia.wise@nih.gov Partha Bhattacharyya, PhD National Institute Aging NIA) Telephone: 301-496-3136  Email: bhattacharyyap@mail.nih.gov Anita Bechtholt, PhD National Institute Alcohol Abuse Alcoholism NIAAA) Telephone: 301-443-9334 Email: anita.bechtholt@nih.gov Tiffani Bailey Lash, Ph.D. National Institute Biomedical Imaging Bioengineering NIBIB) Telephone: 301-451-4778 Email: baileylasht@mail.nih.gov Margaret Grabb, PhD National Institute Mental Health NIMH) Telephone: 301-443-3563 Email: mgrabb@mail.nih.gov Adam Haim, PhD National Institute Mental Health NIMH) Telephone: 301-435-3593 Email: haima@mail.nih.gov Nick Langhals, PhD National Institute Neurological Disorders Stroke NINDS) Telephone: 301-496-1447 Email: nick.langhals@nih.gov Hua-Chuan Sim, MD National Library Medicine NLM) Telephone: 301-594-4882 Email: simh@mail.nih.gov   data science, big data, computational, informatics, machine learning
National Institute of General Medical Sciences Ruth L. Kirschstein National Research Service Award (NRSA) Predoctoral Institutional Research Training PAR-17-341 NIGMS Oct 06 2017 Sep 08 2020 The goal of the National Institute of General Medical Sciences (NIGMS)-sponsored Ruth L. Kirschstein National Research Service Award (NRSA) Predoctoral Institutional Research Training Grant (T32) program is to develop a diverse pool of well-trained scientists available to address the Nations biomedical research agenda. Specifically, this funding opportunity announcement (FOA) provides support to eligible, domestic institutions to develop and implement effective, evidence-based approaches to biomedical graduate education and mentoring that will efficiently train future generations of outstanding biomedical scientists, and will allow biomedical graduate education to keep pace with the rapid evolution of the biomedical research enterprise. NIGMS expects that the proposed research training programs will incorporate didactic, research, and career development elements to prepare trainees for careers that will have a significant impact on the health-related research needs of the Nation.
Mobile Health: Technology and Outcomes in Low and Middle Income Countries (R21/R33 - Clinical Trial Optional) PAR-19-376 FIC Sep 13 2019 Dec 04 2020 The purpose of this Funding Opportunity Announcement (FOA) is to encourage exploratory/developmental research applications that propose to study the development, validation, feasibility, and effectiveness of innovative mobile health (mHealth) interventions or tools specifically suited for low- and middle-income countries (LMICs) that utilize new or emerging technology, platforms, systems, or analytics. The overall goal of the program is to catalyze innovation through multidisciplinary research that addresses global health problems, develop an evidence base for the use of mHealth technology to improve clinical and public health outcomes, and strengthen mHealth research capacity in LMICs. Applicants are required to propose partnerships between at least one U.S. institution and one LMIC institution.
Mentored Career Development Award to Promote Faculty Diversity in Biomedical Research (K01 Independent Clinical Trial Required) RFA-HL-19-025 NHLBI Jul 19 2018 May 07 2021 This Funding Opportunity Announcement (FOA) invites applications to enhance the pool of highly trained investigators from diverse backgrounds underrepresented in research. It is targeted toward individuals whose basic, clinical, and translational research interests are grounded in the advanced methods and experimental approaches needed to solve problems related to cardiovascular, pulmonary, and hematologic diseases and sleep disorders in the general and health disparities populations. This FOA invites applications from institutions with eligible faculty members to undertake special study and supervised research under a mentor who is an accomplished investigator in the research area proposed and has experience in developing independent investigators. This FOA is designed specifically for applicants proposing to serve as the lead investigator of an independent clinical trial, a clinical trial feasibility study, or a separate ancillary study to an existing trial, as part of their research and career development. Applicants not planning an independent clinical trial, or proposing to gain research experience in a clinical trial led by another investigator, must apply to the companion FOA (see RFA-HL-19-026).
Mentored Career Development Award to Promote Faculty Diversity in Biomedical Research (K01 Independent Clinical Trial Not Allowed) RFA-HL-19-026 NHLBI Jul 19 2018 May 07 2021 This Funding Opportunity Announcement (FOA) invites applications to enhance the pool of of highly trained investigators from diverse backgrounds underrepresented in research. It is targeted toward individuals whose basic, clinical, and translational research interests are grounded in the advanced methods and experimental approaches needed to solve problems related to cardiovascular, pulmonary, and hematologic diseases and sleep disorders in the general and health disparities populations. This FOA invites applications from Institutions with eligible faculty members to undertake special study and supervised research under a mentor who is an accomplished investigator in the research area proposed and has experience in developing independent investigators. This FOA is designed specifically for applicants proposing research that does not involve leading an independent clinical trial, a clinical trial feasibility study, or an ancillary study to a clinical trial. Applicants to this FOA are permitted to propose research experience in a clinical trial led by a mentor or co-mentor. Applicants proposing a clinical trial or an ancillary study to an ongoing clinical trial as lead investigator, should apply to the companion FOA (see RFA-HL-19-025).
Mendelian Genomics Research Centers (U01 Clinical Trial Optional) RFA-HG-20-007 NHGRI Jan 13 2020 Apr 16 2020 The purpose of this Funding Opportunity is to establish a consortium aimed at significantly increasing the proportion of Mendelian conditions with an identified genetic cause. A key objective of the Mendelian Genomics Research Centers is to develop and apply approaches to discover causal genes underlying Mendelian conditions for which a candidate gene was not identified using whole exome sequencing alone.

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