Harvard Catalyst Profiles

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Brian E. Cade, Ph.D.

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National Sleep Foundation Healthy Sleep Community Award (Harvard Work Hours, Health, Safety Group)
T32 Postdoctoral Fellowship, Training in Sleep, Circadian, and Respiratory Neurobiology
World Sleep Federation Poster Award
American Academy of Sleep Medicine Young Investigator's Research Forum
American Thoracic Society Abstract Scholarship
Sleep Research Society Abstract Merit Based Award
American Thoracic Society "The Best of Everything: Hot Topics in Sleep" Oral Presentation Selection
Sleep Research Network Travel Award
NHLBI K01 Career Development Award
Chair's Research Award
Identifying Research Directions in Sleep, Circadian Biology, and COVID-19 NHLBI Workshop
Applying Circadian Biology Discovery to Heart, Lung, and Blood Therapeutics NHLBI Workshop
Sleep Health and Dysfunction Across the Spectrum of Pulmonary Vascular Disease NHLBI Workshop
Sleep and big data NHLBI Workshop
Invited Lecture, Associated Professional Sleep Societies National Conference

My research focuses on the genetic epidemiology of sleep and related comorbidities in humans, with a particular emphasis on obstructive sleep apnea. This is a common disorder, particularly in older and more obese individuals. But sleep apnea can impact others as well, and studies have indicated that sleep apnea has an important genetic component independent of obesity. Sleep apnea is also an important risk factor for several other common and debilitating diseases, such as diabetes and cardiovascular disease.

Current highlights of my research include a) identifying an association between sleep apnea and COVID-19 morbidity and mortality; b) identifying the first genetic associations with sleep apnea in humans at genome-wide significance; c) whole-genome sequence analyses of sleep apnea within the NHLBI TOPMed Consortium (where I co-chair the sleep traits working group); and d) ongoing “big data” analyses of sleep apnea and related comorbidities in electronic health record biobanks of over 250,000 patients.

Professional Societies:

Sleep Research Society
American Academy of Sleep Medicine
American Thoracic Society
World Sleep Society

Available: 02/18/22, Expires: 12/31/26

Our goals are to identify novel genetic associations with sleep apnea and insomnia (the two most common sleep disorders) and to stratify patients into different disease subtypes based on patterns found in electronic health records (EHRs). This is a computational project that will leverage natural language processing, R, Python, whole-genome sequencing (WGS) and other omics analyses, and Linux-based computer cluster programming. I am the PI of an R01 project that will combine data from three major clinical biobanks with hundreds of thousands of patients. I am also the co-chair of the NHLBI TOPMed Consortium's Sleep Traits Working Group, where there are additional WGS datasets available. We anticipate multiple publication opportunities, which you could help lead. Additional opportunities are also possible, including the analysis of other sleep disorders and the relationship between sleep apnea, COVID-19 severity, and long COVID.

Available: 04/05/22, Expires: 06/01/23

We are a computational group specializing in a) the genetic epidemiology of sleep disorders and b) the relationship between sleep disorders and comorbidities, including COVID-19 and PASC (post-acute sequelae of SARS-CoV-2 infection). We are funded by the NHLBI and the American Thoracic Society Foundation to address these questions: Genetic Epidemiology of Sleep Apnea and Comorbidities in Biobanks: In this NHLBI R01 project, we are investigating the genetics of sleep apnea and insomnia at scale by leveraging electronic health record biobanks from three institutions and whole-genome sequencing from the TOPMed Consortium (where I co-chair the Sleep Traits working group). We are also investigating the relationship between sleep disorders and comorbidities using natural language processing and other methods, with data from over 250,000 participants currently extracted. Pulmonary Disease Contributions to COVID-19 Morbidity and Mortality: In this American Thoracic Society Foundation project, we are expanding on our prior work discovering a relationship between sleep apnea and COVID-19 severity to now include other pulmonary disorders and more advanced methods. We have assembled data from over 30,000 patients with COVID-19. An overview of current highlights from Fall 2021 can be found from our NHLBI workshop presentation (https://www.nhlbi.nih.gov/events/2021/identifying-research-directions-sleep-circadian-biology-and-covid-19 ).

The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. Sep 1, 2021 - Aug 31, 2022
    American Thoracic Society Foundation
    Pulmonary Disease Contributions to COVID-19 morbidity and mortality
    Role: Principal Investigator
  2. R01HL153805 (CADE, BRIAN EDMAND) Aug 16, 2021 - Jul 31, 2026
    Genetic Epidemiology of Sleep Apnea and Comorbidities in Biobanks
    Role: Principal Investigator
  3. R03HL154284 (CADE, BRIAN EDMAND) Sep 5, 2020 - Aug 31, 2022
    Identifying Contributions of Pulmonary Inflammation to Sleep-Disordered Breathing
    Role: Principal Investigator
  4. K01HL135405 (CADE, BRIAN EDMAND) Mar 15, 2017 - Feb 28, 2021
    Whole Genomic Characterization of Sleep Apnea Traits and Comorbid Disorders
    Role: Principal Investigator
  5. Jan 1, 2017 - Dec 31, 2017
    American Thoracic Society Foundation
    Resolving Heterrogeneity and Identifying Informative Traits of Sleep Apnea in Humans
    Role: Principal Investigator

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.