|RFP posted:||December 2022|
|Letter of intent pre-proposal:
(required via email)
|January 23, 2023|
|Invitations to submit full proposal:||January 31, 2023, by 3 p.m. CST|
|Application deadline (invited participants):||March 6, 2023|
|Peer review:||March 2023|
|Notification of awards:||May 2023|
|Award start date:||July 1, 2023|
The purpose of this Request for Proposal (RFP) announcement is to use large currently available databases (studies or electronic health record data) with information on migraine and cardiovascular disease, in combination with data science approaches, to assess migraine as a risk factor for cardiac disease and stroke.
This RFP promotes data harmonization and analysis of key longitudinal population studies or electronic health record data on which our current understanding of migraine and cardiovascular disease is based, including but not limited to the American Migraine Study I and II, American Migraine Prevalence and Prevention Studies, National Health Interview Survey, Nurses’ Health Study, and the Women’s Health Initiative. These data may also be combined with new data including but not limited to the UK Biobank and other datasets. Projects with data on social and structural determinants of health in migraine, genetic data, and behavioral data will all be considered. Projects that seek to explore fairness and equity in risk models will also be considered.
Research supported by this RFP include analysis of epidemiological studies, clinical trial data, electronic health record data, imaging data, genetic data, proteomic and /or metabolomic data or other already accumulated datasets. This RFP does not support establishment of new cohorts or collection of new data on existing cohorts.
Who we’re looking for
Our goal is to create a collaborative group of experts in migraine, cardiovascular disease and stroke, biostatistics and data science to study the cardiovascular comorbidities, correlates, and complications of migraine. This group will explore unanswered questions about migraine using new ideas from across different fields and new data.