View clinical trials related to Genetics.
Filter by:The purpose of this study is to validate a noninvasive prenatal diagnosis procedure for genetic conditions in the developing fetus by analyzing fetal genetic material present in the pregnant mother's blood.
Generation Victoria (GenV) is a longitudinal, population-based study of Victorian children and their parents that will bring together data on a wide range of conditions, exposures and outcomes. GenV blends study-collected, study-enhanced and linked data. It will be multi-purpose, supporting observational, interventional, health services and policy research within the same cohort. It is designed to address physical, mental and social issues experienced during childhood, as well as the antecedents of a wide range of diseases of ageing. It seeks to generate translatable evidence (prediction, prevention, treatments, services) to improve future wellbeing and reduce the future disease burden of children and adults. The GenV Cohort 2020s is open to all babies born over a two-year period, and their parents, residing in the state of Victoria Australia. The GenV Cohort 2020s is preceded by an Advance Cohort of babies born between 5 Dec 2020 and 3 October 2021, and their parents. This comprises all families recruited at GenV's Vanguard hospital (Joan Kirner Women's and Children's) and at birthing hospitals throughout Victoria as GenV scaled up to commence recruiting for the GenV Cohort 2020s. The Advance Cohort have ongoing and full participation in GenV for their lifetime unless they withdraw but may have less complete data and biosamples.
This study tests the hypothesis that non-diabetic individuals with a high genetic risk score for type 2 diabetes have impaired glucose tolerance and insulin resistance compared to those with a low genetic risk score for type 2 diabetes.
The IVF Offspring Born in Guangzhou Cohort Study (IVF-BIG) was established to investigate the short- and long-term effects of exposure in early life on the health of mothers and offspring in Guangzhou, China. Data are collected regarding assisted reproductive technology (ART), environmental, occupational and lifestyle exposures as well as health outcomes in their later life. Biological samples including blood and tissue samples are also collected from participants.
Obesity is the 5th leading cause of global death, and is major risk factors for many chronic diseases, such as type 2 diabetes, cardiovascular diseases, hypertension and cancer. Obesity is caused by an imbalance between energy intake and energy expenditure, and it is widely agreed to be a consequence of a gene by environment interaction. Although on average obesity rates are increasing, the shape of the distribution of adiposity is changing: it is becoming more right skewed. This is because there is a population of very lean subjects that has remained almost unchanged by the epidemic. The investigators have called these very lean individuals that are resistant to the epidemic and sustain a BMI < 18.5 kg/m2 'super lean' subjects. We have very little understanding of the lifestyles of these individuals and how they are able to maintain their super lean phenotype, and whether the basis of their leanness is primarily genetics.
This project focuses on myomectomy patients in reproductive age. The aim is to study both the molecular characteristics of uterine fibroids and to characterize the clinical effects of surgical treatment. Patient series is mainly retrospective and consists of individuals who have undergone myomectomy at Helsinki University Central Hospital (HUCH) during 2009-2015. In addition, the investigators have started a prospective sample collection starting in October 2015, collecting samples from myomectomies. Clinical data sources include medical records, specific questionnaires and a quality of life -questionnaire filled by patients.
Schizophrenia is a severe mental illness which is considered to have, among other, a genetic etiology. One of the most efficient tools in genetic-psychiatry is the investigation of multiplex families. The current study will identify patients of multiplex families and to map their family connections and the presence of mental illnesses among family members.