ID
45617
Description
Principal Investigator: Donna Arnett, PhD, College of Public Health, University of Kentucky, Lexington, KY, USA MeSH: Lipids,Cardiovascular Diseases,Acute-Phase Proteins,Glucose Metabolism Disorders,Blood Pressure,Body Mass Index,Adiponectin https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001359 The GOLDN study was initiated to assess how genetic factors interact with environmental (diet and drug) interventions to influence blood levels of triglycerides and other atherogenic lipid species and inflammation markers (registered at clinicaltrials.gov, number NCT00083369). The study recruited Caucasian participants primarily from three-generational pedigrees from two NHLBI Family Heart Study (FHS) field centers (Minneapolis, MN and Salt Lake City, UT). Only families with at least two siblings were recruited and only participants who did not take lipid-lowering agents (pharmaceuticals or nutraceuticals) for at least 4 weeks prior to the initial visit were included. The diet intervention followed the protocol of Patsch et al. (1992). The whipping cream (83% fat) meal had 700 Calories/m2 body surface area (2.93 mJ/m2 body surface area): 3% of calories were derived from protein (instant nonfat dry milk) and 14% from carbohydrate (sugar). The ratio of polyunsaturated to saturated fat was 0.06 and the cholesterol content of the average meal was 240 mg. The mixture was blended with ice and flavorings. Blood samples were drawn immediately before (fasting) and at 3.5 and 6 hours after consuming the high-fat meal. The diet intervention was administered at baseline as well as after a 3-week treatment with 160 mg micronized fenofibrate. Participants were given the option to complete one or both (diet and drug) interventions. Of all participants, 1079 had phenotypic data and provided appropriate consent, and underwent whole genome sequencing through the Trans-Omics for Precision Medicine (TOPMed) program. Comprehensive phenotypic and pedigree data for GOLDN study participants are available through dbGaP phs000741.
Lien
Mots-clés
Versions (1)
- 26/02/2023 26/02/2023 - Simon Heim
Détendeur de droits
Donna Arnett, PhD, College of Public Health, University of Kentucky, Lexington, KY, USA
Téléchargé le
26 février 2023
DOI
Pour une demande vous connecter.
Licence
Creative Commons BY 4.0
Modèle Commentaires :
Ici, vous pouvez faire des commentaires sur le modèle. À partir des bulles de texte, vous pouvez laisser des commentaires spécifiques sur les groupes Item et les Item.
Groupe Item commentaires pour :
Item commentaires pour :
Vous devez être connecté pour pouvoir télécharger des formulaires. Veuillez vous connecter ou s’inscrire gratuitement.
dbGaP phs001359 NHLBI TOPMed: GOLDN Epigenetic Determinants of Lipid Response to Dietary Fat and Fenofibrate
The subject consent data table contains subject IDs, consent group information, and subject aliases.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent data table contains subject IDs, consent group information, and subject aliases.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This sample attributes table includes body site where sample was collected, analyte type, tumor status, sequencing center, funding source, TOPMed phase, project, and study name.
Similar models
The subject consent data table contains subject IDs, consent group information, and subject aliases.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent data table contains subject IDs, consent group information, and subject aliases.
- This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs.
- This sample attributes table includes body site where sample was collected, analyte type, tumor status, sequencing center, funding source, TOPMed phase, project, and study name.
C0441833 (UMLS CUI [1,2])
C0449416 (UMLS CUI [1,2])
C0681850 (UMLS CUI [1,3])
C3847505 (UMLS CUI [1,2])
C0449416 (UMLS CUI [1,3])
C0027365 (UMLS CUI [1,2])
C0947630 (UMLS CUI [1,3])
C5420472 (UMLS CUI [1,4])
C3847505 (UMLS CUI [1,2])
C0449416 (UMLS CUI [1,3])