ID
45090
Description
Principal Investigator: Hong-Wen Deng, PhD, Tulane University, New Orleans, LA, USA MeSH: Osteoporosis https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000390 Osteoporosis is a condition of excessive skeletal fragility which results in high risk to low trauma fractures. It is the most prevalent metabolic bone disease and is a major public health problem which may result in devastating morbidity and mortality. The most powerful, measurable determinant of fracture risk is bone mineral density (BMD). More than 60% of BMD variation is attributable to genetic factors. There are gender differences in BMD that contribute to a substantially higher fracture risk among women than men. Genetic studies demonstrate that some osteoporosis risk genes/genomic regions are gender specific. However, specific such genes contributing to female BMD and to the sex differences of BMD are largely unknown. Recent rapid progresses in SNP genotyping technology, in our knowledge about human genome diversity and linkage disequilibrium (LD) patterns in the human genome as revealed have made it feasible and timely to pursue a powerful whole genome-wide association study (GWAS) to identify genes for BMD. The major goal of this project is to perform a powerful GWAS study in a large sample of US Caucasian subjects. Gender specific effects of the genetic variants will be examined. The significant genetic variants discovered will be used to design diagnostic DNA chips for prognosis for potential health problems of osteoporosis later in life.
Lien
https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000390
Mots-clés
Versions (2)
- 20/08/2022 20/08/2022 - Chiara Middel
- 12/10/2022 12/10/2022 - Adrian Schulz
Détendeur de droits
Hong-Wen Deng, PhD, Tulane University, New Orleans, LA, USA
Téléchargé le
20 août 2022
DOI
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Licence
Creative Commons BY 4.0
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dbGaP phs000390 Genomic Wide Scans for Female Osteoporosis Genes
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject-Sample Mapping
- The dataset provides data of bone density (hip/spine), height, weight and BMI measurements, alcohol consumption, exercise and smoking habits and general sociodemographic information.
- Sample Attributes (Body Site/Analyte Type, etc.)
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject-Sample Mapping
- The dataset provides data of bone density (hip/spine), height, weight and BMI measurements, alcohol consumption, exercise and smoking habits and general sociodemographic information.
- Sample Attributes (Body Site/Analyte Type, etc.)
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