Most human traits and common diseases have a complex genetic makeup involving more than one gene. The work presented in this thesis investigates standing body height and the common disease type 2 diabetes mellitus (T2DM). In study I we analyzed two single nucleotide polymorphisms (SNPs) in the TCF7L2 gene that had been shown to be associated with T2DM. Analysis was performed in the ULSAM population cohort of ~1500 males. We were able to replicate the association to type 2 diabetes and in addition to that we made a novel find, showing association between the risk alleles and increased proinsulin levels. In study II we analyzed four genes identified to be associated with T2DM in a genome-wide association study. We analyzed SNPs in these genes in the ULSAM population cohort and found an association between SNPs in the HHEX gene and insulin responses and insulin levels. The aim of studies III-V was to identify genes affecting normal variation in standing body height. Using a candidate gene approach in study III, 17 genes were screened in the ULSAM population cohort using SNPs. A suggestive association of the ESR1 gene with height was found and confirmed as significant in males from the PIVUS population cohort. In study IV, as a part of the GenomEUtwin project, we performed genetic fine mapping of a linked locus for body height on the X-chromosome. By analyzing 1377 SNPs in 780 Finnish twins, we mapped a region spanning 65kb of this locus with linkage to body height in males. This region contains the GPC3 and PHF6 genes that have known connections to syndromes were standing body height is affected. In study V significant linkage and association to standing body height in males was found for the COL1A11 gene, using population cohorts from Finland and Iceland.

INTRODUÇÃO: O polimorfismo dentro do gene TCF7L2, rs7903146, é, até o momento, o marcador genético mais significantemente associado ao risco de diabetes mellitus tipo 2, sendo também associado à doença arterial coronariana. Contudo, pouco ainda se conhece sobre o papel funcional desse polimorfismo na patologia dessas doenças. O objetivo desse projeto foi investigar esse papel funcional, no fenótipo de células vasculares de músculo liso de 92 indivíduos, usando abordagens de comparação de níveis de expressão gênica e de comparação de correlações de expressão gênica, de modo que tais comparações fossem representadas visualmente como redes de interação gênica. MÉTODOS: Inicialmente, foram comparados os níveis de expressão de 41 genes (genes que possuem ou estão perto de variantes genéticas associadas ao diabetes mellitus tipo 2 e outros genes relacionados às vias de sinalização de diabetes mellitus tipo 2 ou às vias de proliferação celular) entre indivíduos com o alelo associado ao risco de diabetes mellitus tipo 2 (CT e TT) e indivíduos sem o alelo de risco (CC) do rs7903146. Com a finalidade de se observar se os genes estavam se relacionando de modo diferente entre os grupos genotípicos, foram comparados os padrões de correlação de expressão dos 41 genes. RESULTADOS: Quanto às comparações de níveis de expressão entre os grupos, cinco formas de splicing do gene TCF7L2 e os genes CDKAL1, IGF2BP2, JAZF1, CDKN2B, CAMK1D, JUN, CDK4, ATP2A2, e FKBP1A apresentaram níveis de expressão significativamente diferentes. Quanto às comparações de correlação de expressão entre os grupos, os genes RXR?, CALM1, CALR e IGF2BP2 foram os que mostraram os mais diferentes padrões de correlação com os outros genes. CONCLUSÃO: Deste modo, o alelo de risco analisado é apontado como tendo influência em cis na regulação da expressão de determinadas formas de splicing do gene TCF7L2 em células vasculares de músculo liso; além de parecer influenciar nas expressões e nas interações de genes relacionados à homeostase glicolítica e/ou proliferação celular. Sendo assim, através de nossas análises identificaram-se possíveis candidatos-alvos no tratamento de redução do risco em indivíduos com alto risco de desenvolvimento de diabetes mellitus tipo 2 e de doença arterial coronariana, especialmente os indivíduos que possuem os genótipos de risco analisados do gene TCF7L2 / INTRODUCTION: The SNP within the TCF7L2 gene, rs7903146, is, to date, the most significant genetic marker associated with type 2 diabetes mellitus risk, well as being associated with coronary artery disease. Nonetheless, its functional role in these diseases pathology is poorly understood. The aim of the present study was to investigate this role, in vascular smooth muscle cells from 92 patients undergoing aortocoronary bypass surgery, using expression levels and expression correlation comparison approaches, which were visually represented as gene interaction networks. METHODS: Initially, the expression levels of 41 genes (seven TCF7L2 splice forms and other 40 relevant genes) were compared between rs7903146 wild-type (CC) and type 2 diabetes mellitus risk (CT + TT) genotype groups. Next, the expression correlation patterns of the 41 genes were compared between genotypic groups in order to observe if the relationships between genes were different. RESULTS: Five TCF7L2 splice forms and CDKAL1, IGF2BP2, JAZF1, CDKN2B, CAMK1D, JUN, CDK4, ATP2A2 and FKBP1A genes showed significant expression differences between groups. RXR?, CALM1, CALR and IGF2BP2 genes were pinpointed as showing the most different expression correlation pattern with other genes. CONCLUSION: Therefore, type 2 diabetes mellitus risk alleles appear to be influencing TCF7L2 splice form\'s expression in vascular smooth muscle cells; besides it can be influencing expression and interactions of genes related to glucose homeostasis and/or cellular proliferation. Thereby, through our analysis were identified possible treatment target candidates for risk reduction in individuals with high-risk of developing type 2 diabetes mellitus and coronary artery disease, especially individuals harboring TCF7L2 risk genotypes

INTRODUÇÃO: O polimorfismo dentro do gene TCF7L2, rs7903146, é, até o momento, o marcador genético mais significantemente associado ao risco de diabetes mellitus tipo 2, sendo também associado à doença arterial coronariana. Contudo, pouco ainda se conhece sobre o papel funcional desse polimorfismo na patologia dessas doenças. O objetivo desse projeto foi investigar esse papel funcional, no fenótipo de células vasculares de músculo liso de 92 indivíduos, usando abordagens de comparação de níveis de expressão gênica e de comparação de correlações de expressão gênica, de modo que tais comparações fossem representadas visualmente como redes de interação gênica. MÉTODOS: Inicialmente, foram comparados os níveis de expressão de 41 genes (genes que possuem ou estão perto de variantes genéticas associadas ao diabetes mellitus tipo 2 e outros genes relacionados às vias de sinalização de diabetes mellitus tipo 2 ou às vias de proliferação celular) entre indivíduos com o alelo associado ao risco de diabetes mellitus tipo 2 (CT e TT) e indivíduos sem o alelo de risco (CC) do rs7903146. Com a finalidade de se observar se os genes estavam se relacionando de modo diferente entre os grupos genotípicos, foram comparados os padrões de correlação de expressão dos 41 genes. RESULTADOS: Quanto às comparações de níveis de expressão entre os grupos, cinco formas de splicing do gene TCF7L2 e os genes CDKAL1, IGF2BP2, JAZF1, CDKN2B, CAMK1D, JUN, CDK4, ATP2A2, e FKBP1A apresentaram níveis de expressão significativamente diferentes. Quanto às comparações de correlação de expressão entre os grupos, os genes RXR?, CALM1, CALR e IGF2BP2 foram os que mostraram os mais diferentes padrões de correlação com os outros genes. CONCLUSÃO: Deste modo, o alelo de risco analisado é apontado como tendo influência em cis na regulação da expressão de determinadas formas de splicing do gene TCF7L2 em células vasculares de músculo liso; além de parecer influenciar nas expressões e nas interações de genes relacionados à homeostase glicolítica e/ou proliferação celular. Sendo assim, através de nossas análises identificaram-se possíveis candidatos-alvos no tratamento de redução do risco em indivíduos com alto risco de desenvolvimento de diabetes mellitus tipo 2 e de doença arterial coronariana, especialmente os indivíduos que possuem os genótipos de risco analisados do gene TCF7L2 / INTRODUCTION: The SNP within the TCF7L2 gene, rs7903146, is, to date, the most significant genetic marker associated with type 2 diabetes mellitus risk, well as being associated with coronary artery disease. Nonetheless, its functional role in these diseases pathology is poorly understood. The aim of the present study was to investigate this role, in vascular smooth muscle cells from 92 patients undergoing aortocoronary bypass surgery, using expression levels and expression correlation comparison approaches, which were visually represented as gene interaction networks. METHODS: Initially, the expression levels of 41 genes (seven TCF7L2 splice forms and other 40 relevant genes) were compared between rs7903146 wild-type (CC) and type 2 diabetes mellitus risk (CT + TT) genotype groups. Next, the expression correlation patterns of the 41 genes were compared between genotypic groups in order to observe if the relationships between genes were different. RESULTS: Five TCF7L2 splice forms and CDKAL1, IGF2BP2, JAZF1, CDKN2B, CAMK1D, JUN, CDK4, ATP2A2 and FKBP1A genes showed significant expression differences between groups. RXR?, CALM1, CALR and IGF2BP2 genes were pinpointed as showing the most different expression correlation pattern with other genes. CONCLUSION: Therefore, type 2 diabetes mellitus risk alleles appear to be influencing TCF7L2 splice form\'s expression in vascular smooth muscle cells; besides it can be influencing expression and interactions of genes related to glucose homeostasis and/or cellular proliferation. Thereby, through our analysis were identified possible treatment target candidates for risk reduction in individuals with high-risk of developing type 2 diabetes mellitus and coronary artery disease, especially individuals harboring TCF7L2 risk genotypes

Background: Type 2 diabetes is thought to result from interactions between genetic and lifestyle factors, but few robust examples exist. The overarching aim of this thesis was to discover such interactions by studying cohorts of white youth and adults from northern Europe in which physical activity, genotypes, and diabetes-related traits or diabetes incidence had been ascertained.   Methods: The thesis includes four papers. In Paper I, we investigated associations and interactions between 35 common PPARGC1A polymorphisms and cardiovascular and metabolic disease traits in 2,101 Danish and Estonian children from the European Youth Heart Study (EYHS). Paper II used the same cohort to test associations and interactions on cardiometabolic traits for the diabetes-predisposing TCF7L2 polymorphism. In Paper III, we assessed associations for 17 type 2 diabetes gene polymorphisms on impaired glucose regulation (IGR) or incident type 2 diabetes, and tested whether these effects are modified by physical activity in a prospective cohort study of ~16,000 initially non-diabetic Swedish adults – the Malmö Preventive Project (MPP). Paper IV aimed to replicate main genetic effects and gene x physical activity interactions for an FTO polymorphism on obesity in 18,435 primarily non-diabetic Swedish (MPP) and Finnish (Prevalence, Prediction and Prevention of Diabetes in Botnia) adults. Results: In Paper I, nominally significant associations were observed for BMI (rs10018239, P=0.039), waist circumference (rs7656250, P=0.012; rs8192678 [Gly482Ser], P=0.015; rs3755863, P=0.02; rs10018239, P=0.043), systolic blood pressure (rs2970869, P=0.018) and fasting glucose concentrations (rs11724368, P=0.045). Stronger associations were observed for aerobic fitness (rs7656250, P=0.005; rs13117172, P=0.008) and fasting glucose concentrations (rs7657071, P=0.002). None remained significant after correcting for multiple statistical comparisons. We proceeded by testing for gene × physical activity interactions for the polymorphisms that showed statistical evidence of association (P<0.05) in the main effect models, but none was statistically significant. In Paper II, the minor T allele at the rs7903146 variant was associated with higher glucose levels in older (beta=–0.098 mmol/l per minor allele copy, P=0.029) but not in younger children (beta=–0.001 mmol/l per minor allele copy, P=0.972). A significant inverse association between the minor allele at rs7903146 and height was evident in boys (beta=–1.073 cm per minor allele copy, P=0.001), but not in girls. The test of interaction between the TCF7L2 rs7903146 variant and physical activity on HOMA-B was nominally statistically significant (beta=0.022, Pinteraction=0.015), whereby physical activity reduced the effect of the risk allele on estimated beta-cell function. In Paper III, tests of gene x physical activity interactions on IGR-risk for three polymorphisms were nominally statistically significant: CDKN2A/B rs10811661 (Pinteraction=0.015); HNF1B rs4430796 (Pinteraction=0.026); PPARG rs1801282 (Pinteraction=0.04). Consistent interactions were observed for the CDKN2A/B (Pinteraction=0.013) and HNF1B (Pinteraction=0.0009) variants on 2 hr glucose concentrations. Where type 2 diabetes was the outcome, only one statistically significant interaction effect was observed and this was for the HNF1B rs4430796 variant (Pinteraction=0.0004). The interaction effects for HNF1B on 2 hr glucose and incident diabetes remained significant after correction for multiple testing (Pinteraction=0.015 and 0.0068, respectively). In Paper IV, the minor A allele at rs9939609 was associated with higher BMI (P<0.0001). The tests of gene x physical activity interaction on BMI were not statistically significant in either cohort (Sweden: P=0.71, Finland: P=0.18). Conclusions: Variation at PPARGC1A is unlikely to have a major impact on cardiometabolic health in European children, but physical activity may modify the effect of the TFC7L2 variants on beta-cell function in this cohort. In Swedish adults, physical activity modifies the effects of common HNF1B and CDKN2A/B variants on risk of IGR and also modifies the effect of the HNF1B on type 2 diabetes risk. In Swedish and Finnish adults, we were unable to confirm previous reports of an interaction between FTO gene variation and physical activity on obesity predisposition.

Diss. (sammanfattning) Umeå : Umeå universitet, 2010. / Härtill 4 uppsatser. Även tryckt utgåva.

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