Abstract
During the last decades metabolic disorders such as high blood pressure, impaired blood glycose, atherosclerotic lipid abnormalities, overweight/obesity and elevated blood pressure are among the leading risks for mortality and morbidity worldwide. Those risks are mostly responsible for raising the risk of clinic diseases e.g. diabetes, atherosclerosis, stroke and cardiovascular disease. Metabolic phenotypes, similar to most complex traits, can be influenced by both genetic and environmental factors as well as their interplay. Many family and twin studies have demonstrated both genetic and environmental factors play important role in the variation of metabolic phenotypes and intra-individual change over time. Although both genetic and environmental factors are involved the development of metabolic disorders, the role of environment should be emphasized as the expression or function of gene can be regulated to adapt to existing environmental circumstance. In other words, adaptive evolution in populations under distinct environmental and cultural circumstances could have resulted in varying genetic basis of metabolic factors and development of metabolic disorders or diseases. Thus, it can be interesting to conduct cross-population analysis of the relative importance of genetic and environmental contributions to metabolic phenotypes. Such studies can help us not only with a better understanding of the disease etiology but also with the development of more efficient treatment and prevention strategies (tagged intervention).
Supported by Novo Nordisk Foundation and the European Foundation for the Study of Diabetes, we have set up a Chinese and Danish collaboration for genetic study on metabolic phenotypes associated with obesity and metabolic disorders using Chinese twins. In this project we used the collected data from both Danish and Chinese twins to apply the unique and bivariate twin model to estimate the genetic and environmental influences on the level of multiple phenotypes, intra-individual variation over time for metabolic phenotypes, genetic correlations between the traits and conducted the comparative study between the two populations, Danish data represent western and Chinese data represent eastern populations.
Results from this PhD project suggested that there are disparity patterns of genetic and environmental regulations of some important metabolic phenotypes between Danish (Western) and Chinese (Eastern) populations; differential patterns of genetic and environmental regulation of intra-individual variation over time between two distinct populations; mutual validation of genetic overlap in systolic and diastolic blood pressure in both samples.
Supported by Novo Nordisk Foundation and the European Foundation for the Study of Diabetes, we have set up a Chinese and Danish collaboration for genetic study on metabolic phenotypes associated with obesity and metabolic disorders using Chinese twins. In this project we used the collected data from both Danish and Chinese twins to apply the unique and bivariate twin model to estimate the genetic and environmental influences on the level of multiple phenotypes, intra-individual variation over time for metabolic phenotypes, genetic correlations between the traits and conducted the comparative study between the two populations, Danish data represent western and Chinese data represent eastern populations.
Results from this PhD project suggested that there are disparity patterns of genetic and environmental regulations of some important metabolic phenotypes between Danish (Western) and Chinese (Eastern) populations; differential patterns of genetic and environmental regulation of intra-individual variation over time between two distinct populations; mutual validation of genetic overlap in systolic and diastolic blood pressure in both samples.
Originalsprog | Engelsk |
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Vejledere/rådgivere |
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Status | Udgivet - 27. okt. 2015 |