ID
45240
Beschreibung
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=phs000408 The Geisinger eMERGE Genome-Wide Association Studies of Obesity 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 occurs 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.
Link
Stichworte
Versionen (2)
- 13.07.22 13.07.22 - Dr. Christian Niklas
- 12.10.22 12.10.22 - Adrian Schulz
Rechteinhaber
Glenn S. Gerhard, MD, Weis Center for Research, Geisinger Clinic, Danville, PA, USA
Hochgeladen am
12. Oktober 2022
DOI
Für eine Beantragung loggen Sie sich ein.
Lizenz
Creative Commons BY 4.0
Modell Kommentare :
Hier können Sie das Modell kommentieren. Über die Sprechblasen an den Itemgruppen und Items können Sie diese spezifisch kommentieren.
Itemgroup Kommentare für :
Item Kommentare für :
Um Formulare herunterzuladen müssen Sie angemeldet sein. Bitte loggen Sie sich ein oder registrieren Sie sich kostenlos.
dbGaP phs000408 eMERGE Genome-Wide Association Studies of Obesity
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample - Mapping
- The dataset provides medical background information 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 (analyte type, body area that is the source of the sample).
Ähnliche Modelle
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample - Mapping
- The dataset provides medical background information 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 (analyte type, body area that is the source of the sample).
C0543488 (UMLS CUI [2,2])
C0017125 (UMLS CUI [2,3])
C1548635 (UMLS CUI [1,2])
C0017125 (UMLS CUI [1,3])
C0027468 (UMLS CUI [1,4])
C0243161 (UMLS CUI [1,5])
C2984077 (UMLS CUI [1,2])
C0543488 (UMLS CUI [1,3])
C0017125 (UMLS CUI [1,4])
C0543467 (UMLS CUI [1,2])
C1301624 (UMLS CUI [1,3])
C1301624 (UMLS CUI [2,2])
C0205486 (UMLS CUI [2,3])
C0205082 (UMLS CUI [2,4])
C0558080 (UMLS CUI [1,2])
C1321605 (UMLS CUI [1,3])
C0445204 (UMLS CUI [1,4])
C0032790 (UMLS CUI [1,5])
C0034866 (UMLS CUI [1,6])
C0001779 (UMLS CUI [1,2])
C0001779 (UMLS CUI [1,2])
C0032961 (UMLS CUI [2,1])