ID
45085
Description
Principal Investigator: Glenn S. Gerhard, MD, Weis Center for Research, Geisinger Clinic, Danville, PA, USA MeSH: Type 2 Diabetes,Obesity,Bariatric Surgery https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000380 The Geisinger eMERGE Genome Wide Association Studies of Obesity (Metabochip) Project is a genetic study of a cohort of primarily Caucasian patients with extreme obesity who have undergone bariatric surgery. Roux-en-Y gastric bypass (RYGB) surgery, in which intestinal anatomy is altered, dramatically ameliorates and/or eliminates Type 2 diabetes mellitus (T2D) in 50-80% of patients within hours to days following surgery, well before significant weight loss, in contrast to other types of bariatric surgeries, such as gastric banding, that attenuate insulin resistance as a result of substantial weight loss that occurs over months to years. The molecular mechanism by which RYGB exerts this clinical phenomenon is not known. The goal of this project was to conduct a genome wide association study (GWAS) to identify genetic variants associated with amelioration in T2D defined by medication independence. Identifying genetic variants that influence the dramatic resolution of T2D from RYGB may identify novel targets for pharmacological T2D therapies and/or identify patients in whom RYGB may not be effective.
Lien
https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000380
Mots-clés
Versions (2)
- 19/08/2022 19/08/2022 - Chiara Middel
- 12/10/2022 12/10/2022 - Adrian Schulz
Détendeur de droits
Glenn S. Gerhard, MD, Weis Center for Research, Geisinger Clinic, Danville, PA, USA
Téléchargé le
19 août 2022
DOI
Pour une demande vous connecter.
Licence
Creative Commons BY 4.0
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dbGaP phs000380 eMERGE Genome-Wide Association Studies of Obesity (Metabochip)
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample - Mapping
- The dataset provides medical background information of subjects' relating to obesity prior to bariatric surgery; included are e.g. weight, height and BMI, Hba1c, insulin, glucose levels, blood pressure data, and information about medication use, including biguanides, insulin, sulfonylureas, or insulin sensitizing agents. Data of tobacco or alcohol use, general socio-demographic information and weight measurements following bariatric surgery, are also included. All subjects have undergone bariatric surgery (cases).
- Sample - Attribute Information (e.g., analyte type, body area that is the sample source).
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample - Mapping
- The dataset provides medical background information of subjects' relating to obesity prior to bariatric surgery; included are e.g. weight, height and BMI, Hba1c, insulin, glucose levels, blood pressure data, and information about medication use, including biguanides, insulin, sulfonylureas, or insulin sensitizing agents. Data of tobacco or alcohol use, general socio-demographic information and weight measurements following bariatric surgery, are also included. All subjects have undergone bariatric surgery (cases).
- Sample - Attribute Information (e.g., analyte type, body area that is the sample source).
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