Whole Genome Analysis for the Detection of Key Genes in the Polycystic Ovary Syndrome - a Study on Multigenerational Families
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 1,500
- 试验地点
- 1
研究概览
简要总结
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).
详细描述
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Working Hypothesis The recent trend in GWA has been the comparison of large numbers of DNA samples from affected individuals and large pools of unrelated individuals (Wellcome Trust Case Control Consortium). Whenever the control group came from family members, the number of patients needed to be sampled has been consistently smaller (Dempfle a et al 2006; The Japanese Schizophrenia Sib-Pair Linkage Group 2005), due to less degrees of freedom in the statistical analysis (Chen WM & Abecasis GR 2007).
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Specific Aims
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What are the specific informative SNPs, associated with PCOD?
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What are the specific genes located in the vicinity of these SNPs, which could contribute to the development of the clinical syndrome? Detailed description of the proposed research Clinical data collection and patient recruitment Patients
Women will be diagnosed as suffering from PCOD based on the Rotterdam criteria ():
- Oligo- and/or anovulation
- Clinical and/or biochemical signs of hyperandrogenism
- Polycystic ovaries, and exclusion of other aetiologies (congenital adrenal hyperplasias, androgen-secreting tumours, Cushing's syndrome) Routine testing of serum levels for the relevant sex hormones will be performed at the 3rd day of the menstrual cycle. Glucose and insulin levels will be measured at the fasting state. The individual data collection page is presented as Appendix 1.
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Family Based
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •A clinical and laboratory diagnosis of the polycystic ovary syndrome (cases). Female family members of index cases, up to a great grandmother and fathers of index cases.
排除标准
- 未提供