Home
Search
Study Topics
Glossary
|
|
|
|
|
Sponsored by: |
Maaynei Hayesha Medical Center |
---|---|
Information provided by: | Maaynei Hayesha Medical Center |
ClinicalTrials.gov Identifier: | NCT00665171 |
Background: Infertility affects up to 15% of married couples. About half are attributable to female factors, among which anovulation is the leading cause. Some 5% of all women of reproductive age are anovulatory due to the polycystic ovarian syndrome (PCOS). PCOS causes also major health and cosmetic problems and significantly affects quality of life. PCOS is associated with cardiovascular morbidity and Type 2 diabetes mellitus, but it is unclear whether these are caused by the ovarian dysfunction or result from a common denominator.
Working hypothesis and aims: Whole genome analysis of multigenerational families in which at least one woman is affected by PCOS may significantly reduce the numbers needed to verify the specific genes, involved in the causation of PCOS.
Methods: Registration of multigenerational families and production of personal files with full workup for the presence of PCOS or its absence (in the women participants). Drawing of blood, extraction and preservation of DNA. Analysis of all informative SNPs in the genomes of the participants on a specific microarray chip. Statistical analysis of the results. Expected results: Verification of the loci and putative genes, associated with the appearance of PCOS.
Importance: Elucidation of the specific genes underlying the pathology of PCOS. Probable implications to Medicine: Paving the way for targeted treatment of the problems, associated with PCOS, based on the clear knowledge of its underlying cause(s).
Condition |
---|
Anovulation Hyperandrogenism Polycystic Ovary Syndrome Single Nucleotide Polymorphism |
Study Type: | Observational |
Study Design: | Family-Based, Prospective |
Official Title: | Whole Genome Analysis for the Detection of Key Genes in the Polycystic Ovary Syndrome - a Study on Multigenerational Families |
The study aims to perform a whole genome analysis for the detection of genes, associated with the polycystic ovary syndrome. Therefore, the main clinical effort is the diagnosis of index cases and recruitment of family members to give DNA samples.
Estimated Enrollment: | 1500 |
Study Start Date: | June 2008 |
Specific Aims
Women will be diagnosed as suffering from PCOD based on the Rotterdam criteria ():
Controls Sisters, mothers, fathers, aunts and grandmothers of affected women will be asked to disclose their relevant clinical history and donate a single blood test for both DNA extraction and hormonal tests, which will be taken at the 3rd day of menstruation, where applicable.
The population that is served by Mayanei Hayeshua hospital is characterized by a short generation interval, due to the mean early age at marriage and the desire to bear children right after marriage. This should allow the formation of genealogy trees that are very informative.
Data security and terms of use of samples Recruitment of family members will be only through the index cases, and each participant will receive a complete explanation of possible personal implication of the study results to herself and family (none). Overall, all included women, patients and family members alike, will be notified as to the secrecy of the data and its use only for the declared purpose of research. They will also be made aware that no personal benefit or harm can be derived from this data to them. In addition, all participants will be informed that if in the future there will arise a new reason to re-analyze their samples, a specific address will be made to each and every one of them to obtain a new permission for this use. Upon request each participant will receive a full explanation of the storage system and the hierarchy of responsibility for the samples and data security.
Genders Eligible for Study: | Both |
Accepts Healthy Volunteers: | Yes |
Sampling Method: | Non-Probability Sample |
Multigenerational families with at least one woman affected with the polycystic ovary syndrome.
Inclusion Criteria:
Exclusion Criteria:
Israel | |
Department of Obstetrics and Gynecology, Maaynei Hayeshua Medical Center | |
Bnei Brak, Israel |
Principal Investigator: | Izhar Ben-Shlomo, MD | Maaynei Hayeshua Medical Center |
Responsible Party: | Maaynei Hayeshua Medical Center ( Izhar Ben-Shlomo ) |
Study ID Numbers: | pcodsnp |
Study First Received: | April 18, 2008 |
Last Updated: | April 22, 2008 |
ClinicalTrials.gov Identifier: | NCT00665171 History of Changes |
Health Authority: | Israel: Ministry of Health |
Polycystic ovary syndrome Single nucleotide polymorphism Whole genome analysis Multigenerational family study |
Genital Diseases, Female Gonadal Disorders Polycystic Ovary Syndrome Endocrine System Diseases Hyperandrogenism Endocrinopathy |
Ovarian Diseases Cysts Anovulation Sex Differentiation Disorders Ovarian Cysts Polycystic Ovarian Syndrome |
Disease Gonadal Disorders Endocrine System Diseases Hyperandrogenism Ovarian Diseases Cysts Sex Differentiation Disorders Adnexal Diseases |
Genital Diseases, Female Neoplasms Pathologic Processes Syndrome Polycystic Ovary Syndrome Anovulation Ovarian Cysts |