ID
45138
Descrição
Principal Investigator: Andrea Dunaif, MD, Northwestern University Feinberg School of Medicine, Chicago, IL, USA MeSH: Polycystic Ovary Syndrome https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000368 *PCOS* is a complex genetic disease reflecting the interplay of susceptibility genes and environmental factors. The cardinal reproductive feature of the syndrome, hyperandrogenemia, appears to play a direct role in the pathogenesis of the associated metabolic abnormalities. Male as well as female first-degree relatives have reproductive and metabolic phenotypes including increased prevalence rates of type 2 diabetes (T2D), metabolic syndrome (MBS) and other risk factors for cardiovascular disease (CVD). Northwestern University (NU) investigators lead a team that has extensive experience in phenotyping PCOS and in the genetic analysis of complex diseases including genome-wide association study (GWAS). Together with an expert group of collaborators from the Hershey Medical Center, and The University of Chicago, we have conducted a GWAS to identify PCOS susceptibility alleles using a large cohort of extensively and consistently phenotyped PCOS cases. Population controls for this study come from the NUgene project described below. *NUgene project*: In 2002, Northwestern committed to the development of a DNA repository to serve as a platform for the identification and validation of genotype-phenotype associations that will impact healthcare. The NUgene Project is a repository with longitudinal medical information from participating patients at affiliated hospitals and outpatient clinics from the Northwestern University Medical Center. Participants' DNA samples are coupled with data from a questionnaire (2 versions were used, 1 before and 1 after February 2006, both are included) and continuously updated data from our Electronic Medical Record (EMR) representing actual clinical care events. Northwestern has a state-of-the art, comprehensive inpatient and outpatient EMR system of over 2 million patients. NUgene has broad access to participant data for all outpatient visits as well as inpatient data via a consolidated data warehouse. NUgene participants consent to distribution and use of their coded DNA samples and data for a broad range of genetic research by third-party investigators.
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Versões (4)
- 30/08/2022 30/08/2022 - Simon Heim
- 12/10/2022 12/10/2022 - Dr. Christian Niklas
- 12/10/2022 12/10/2022 - Dr. Christian Niklas
- 12/10/2022 12/10/2022 - Adrian Schulz
Titular dos direitos
Andrea Dunaif, MD, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
Transferido a
12 de outubro de 2022
DOI
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Licença
Creative Commons BY 4.0
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dbGaP phs000368 POLYGEN
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Pedigree Information
- Subject - Sample - Mapping (plus plate/well information).
- The dataset provides BMI/height/weight and case/control information of PCOS clinical (cases) and NUgene biobank (control) subjects, in addition to general socio-demographic data.
- NU_PCOS_Sample Attribute (body site/analyte type) data.
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Pedigree Information
- Subject - Sample - Mapping (plus plate/well information).
- The dataset provides BMI/height/weight and case/control information of PCOS clinical (cases) and NUgene biobank (control) subjects, in addition to general socio-demographic data.
- NU_PCOS_Sample Attribute (body site/analyte type) data.
C0032460 (UMLS CUI [1,2])
C0012854 (UMLS CUI [1,3])
C0370003 (UMLS CUI [1,4])
C0007457 (UMLS CUI [1,5])
C0009932 (UMLS CUI [2,1])
C3824747 (UMLS CUI [2,2])
C1706256 (UMLS CUI [1,2])
C0032460 (UMLS CUI [1,3])
C0947630 (UMLS CUI [1,4])
C1706256 (UMLS CUI [1,2])
C0032460 (UMLS CUI [1,3])
C0011900 (UMLS CUI [1,4])
C1513896 (UMLS CUI [1,5])
C1706256 (UMLS CUI [1,2])
C2675018 (UMLS CUI [1,3])
C1706256 (UMLS CUI [1,2])
C0003128 (UMLS CUI [1,3])
C0205191 (UMLS CUI [1,4])
C1706256 (UMLS CUI [1,2])
C0029928 (UMLS CUI [1,3])
C0032002 (UMLS CUI [1,4])
C0001621 (UMLS CUI [1,5])
C0009932 (UMLS CUI [1,2])
C0086287 (UMLS CUI [1,3])
C0009932 (UMLS CUI [1,2])
C0007457 (UMLS CUI [1,3])
C1512693 (UMLS CUI [2,1])
C0009932 (UMLS CUI [2,2])
C1518424 (UMLS CUI [2,3])
C1298908 (UMLS CUI [2,4])
C1257891 (UMLS CUI [2,5])