Individual Study / CREW

Children's Respiratory and Environmental Workgroup

Children's Respiratory and Environmental Workgroup

Initiatives -
Further propose that identification of endotypes and associated molecular biomarkers in early life can provide a new paradigm for asthma prevention. Unfortunately, single cohorts have limited ability to identify asthma endotypes due to small sample size and unique population characteristics. To overcome shortcomings of individual cohorts, investigators leading 12 asthma birth cohorts across the U.S. now propose the establishment of the Children's Respiratory Research and Environment Workgroup (“CREW”) consortium. This consortium proposes to identify asthma endotypes and overcome shortcomings of individual cohorts by: 1. providing a large (nearly 9000 births and long-term follow-up of 6000-7000 children and young adults) and diverse national data set, 2. harmonizing data related to asthma clinical indicators and early life environmental exposures, 3. developing standardized measures for prospective data collection across CREW cohorts and other ECHO studies, 4. conducting targeted enrollment of additional subjects into existing cohorts.
Start Year
National Institutes of Health (NIH)
Visit CREW


Investigators Contacts
  • MD. Prof James Gern
    University of Wisconsin School of Medicine and Public Health


Study design
Population cohort

Marker Paper

Gern JE, Jackson DJ, Lemanske RF Jr, Seroogy CM, Tachinardi U, Craven M, Hwang SY, Hamilton CM, Huggins W, O'Connor GT, Gold DR, Miller R, Kattan M, Johnson CC, Ownby D, Zoratti EM, Wood RA, Visness CM, Martinez F, Wright A, Lynch S, Ober C, Khurana Hershey GK, Ryan P, Hartert T, Bacharier LB. The Children's Respiratory and Environmental Workgroup (CREW) birth cohort consortium: design, methods, and study population. Respir Res. 2019 Jun 10;20(1):115. doi: 10.1186/s12931-019-1088-9.

PUBMED 31182091


Sources of Recruitment
  • Families

Number of participants

Number of participants
Number of participants with biosamples


Availability of data and biosamples