Abstract
Identification of important gene-environment (GxE) interactions is necessary to advance prevention and treatment efforts for spontaneous preterm birth (sPTB). Complicating this search is the challenge of identifying meaningful interactions in highly dimensional datasets. We report a novel method of testing GxE interactions to document risk association in sPTB.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
