25 research outputs found

    Cohort profile: the German Diabetes Study (GDS)

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    Gene-based association studies report genetic links for clinical subtypes of frontotemporal dementia

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    Genome-wide association studies in frontotemporal dementia showed limited success in identifying associated loci. This is possibly due to small sample size, allelic heterogeneity, small effect sizes of single genetic variants, and the necessity to statistically correct for testing millions of genetic variants. To overcome these issues, we performed gene-based association studies on 3348 clinically identified frontotemporal dementia cases and 9390 controls (discovery, replication and joint-cohort analyses). We report association of APOE and TOMM40 with behavioural variant frontotemporal dementia, and ARHGAP35 and SERPINA1 with progressive non-fluent aphasia. Further, we found the ɛ2 and ɛ4 alleles of APOE harbouring protective and risk increasing effects, respectively, in clinical subtypes of frontotemporal dementia against neurologically normal controls. The APOE-locus association with behavioural variant frontotemporal dementia indicates its potential risk-increasing role across different neurodegenerative diseases, whereas the novel genetic associations of ARHGAP35 and SERPINA1 with progressive non-fluent aphasia point towards a potential role of the stress-signalling pathway in its pathophysiology

    Gene-Environment Interaction and Individual Susceptibility to Metabolic Disorders

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    Genetic and environmental interactions are important for the development of metabolic disorders such as obesity, hypertension, hyperlipidemia and type 2 diabetes (T2D). It is well-established that environmental factors have a major impact on obesity and to some degree on T2D. This chapter focuses on the genetic causes of obesity and T2D, and the potential interactions with environmental and behavioral factors which may contribute to the ongoing increase in these diagnoses. Research in the last decades have demonstrated that while genetic variations explain a substantial proportion of the heritability, known genetic risk loci can only explain a minor fraction of the inter-individual variations in the two conditions. At present, the benefits of genetic risk scores are therefore limited, at least for interventions aimed against common forms of obesity and T2D
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