Pharmacogenetic Algorithm for Individualized Controlled Ovarian Stimulation
NCT03149536 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1350
Last updated 2020-07-16
Summary
In this study, the investigators will evaluate genetic variation or polymorphisms between individuals submitted to IVF/ICSI cycles, and how these variations influence response to COS and pregnancy outcomes. Thus, this project has the aim to develop a pharmacogenetic algorithm associating gene polymorphisms, the patient clinical information, and functional and hormonal biomarker to: 1) predict the patient response to gonadotropin; 2) develop individualized gonadotropin regimens; 3) improve the accuracy of determining appropriate dosages of gonadotrophins; 4) improve efficacy and patient compliance to COS; and finally 5) reduce the time-to-pregnancy.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
Pharmacogenetic test
To develop a pharmacogenetic prediction test
Sponsors & Collaborators
-
Faculdade de Medicina do ABC
collaborator OTHER -
ANDROFERT - Clinica de Andrologia e Reproducao Humana
collaborator OTHER -
Clínica Origen
lead OTHER
Principal Investigators
-
Matheus Roque, MD · ORIGEN - Center for Reproductive Medicine
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- OTHER
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 38 Years
- Sex
- FEMALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-11-30
- Primary Completion
- 2021-11-30
- Completion
- 2022-11-30
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