ID
45693
Descrizione
Principal Investigator: Donna K. Arnett, PhD, School of Public Health, University of Kentucky, Lexington, KY, USA MeSH: Hypertrophy, Left Ventricular,Antihypertensive Agents,Blood Pressure,Diastolic Pressure,Echocardiography,Heart Atria,Heart Ventricles,Hypertension,Stroke Volume,Systolic Pressure,Ventricular Dysfunction, Left,Ventricular Ejection Fraction,Ventricular Function, Left,Ventricular Remodeling https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001293 The Hypertension Genetic Epidemiology Network Study (HyperGEN) - Genetics of Left Ventricular (LV) Hypertrophy is a familial study aimed to understand genetic risk factors for LV hypertrophy by conducting genetic studies of continuous traits from echocardiography exams. The originating HyperGEN study aimed to understand genetic risk factors for hypertension. Data from detailed clinical exams as well as genotyping data for linkage studies, candidate gene studies and GWAS have been collected and is shared between HyperGEN and the ancillary HyperGEN - Genetics of LV Hypertrophy study.
collegamento
Keywords
versioni (1)
- 09/05/23 09/05/23 - Chiara Middel
Titolare del copyright
Donna K. Arnett, PhD, School of Public Health, University of Kentucky, Lexington, KY, USA
Caricato su
9 maggio 2023
DOI
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Licenza
Creative Commons BY 4.0
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dbGaP phs001293 NHLBI TOPMed: HyperGEN - Genetics of Left Ventricular (LV) Hypertrophy
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.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent data table contains subject IDs, consent group information, subject aliases, and affection status. All subjects are controls for studying continuous traits from echocardiography exams.
- This pedigree data table contains family relationships in the format of family IDs, subject IDs, father IDs, mother IDs, sex of subjects, and monozygotic twin IDs.
- 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 subject phenotypes data table includes age, sex, race, education, field center and lab ID, medical history (n=13 variables; menopause, pregnancy, preeclampsia, hormone medication, heart attack, heart bypass, and stroke), hypertension status (n=2 variables), diabetes status, anthropometric measures (n=15 variables; waist, hip, triceps, subscapularis, elbow, weight, height, BMI, percent body fat), blood pressure and pulse (n=33 variables; systolic, diastolic, sitting, standing, mean arterial pressure), echocardiographic measurements (n=12 variables), blood and urine measurements (n=34 variables), medications (n=12 variables), alcohol use (n=11 variables), and smoking status (n=4 variables).
- 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
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.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent data table contains subject IDs, consent group information, subject aliases, and affection status. All subjects are controls for studying continuous traits from echocardiography exams.
- This pedigree data table contains family relationships in the format of family IDs, subject IDs, father IDs, mother IDs, sex of subjects, and monozygotic twin IDs.
- 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 subject phenotypes data table includes age, sex, race, education, field center and lab ID, medical history (n=13 variables; menopause, pregnancy, preeclampsia, hormone medication, heart attack, heart bypass, and stroke), hypertension status (n=2 variables), diabetes status, anthropometric measures (n=15 variables; waist, hip, triceps, subscapularis, elbow, weight, height, BMI, percent body fat), blood pressure and pulse (n=33 variables; systolic, diastolic, sitting, standing, mean arterial pressure), echocardiographic measurements (n=12 variables), blood and urine measurements (n=34 variables), medications (n=12 variables), alcohol use (n=11 variables), and smoking status (n=4 variables).
- 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.
C1299222 (UMLS CUI [1,2])
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C0449416 (UMLS CUI [1,3])
C2603343 (UMLS CUI [1,2])
C0243098 (UMLS CUI [1,2])
C1561491 (UMLS CUI [1,3])