Publications by authors named "C Gieger"
Background: Type 2 diabetes (T2D) has been linked to changes in DNA methylation levels, which can, in turn, alter transcriptional activity. However, most studies for epigenome-wide associations between T2D and DNA methylation comes from cross-sectional design. Few large-scale investigations have explored these associations longitudinally over multiple time-points.
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- Distal sensorimotor polyneuropathy (DSPN) is a prevalent neurological condition affecting older adults and those with obesity or diabetes, leading to significant health issues.
- The Interpretable Multimodal Machine Learning (IMML) framework was used to predict the prevalence and incidence of DSPN by analyzing a diverse set of data from over 1,000 participants, including clinical, genomic, and metabolomic information.
- Results showed that while clinical data alone could differentiate DSPN cases, combining it with additional molecular data improved prediction accuracy and identified potential biomarkers related to inflammation and fatty acid metabolism, offering new insights for treatment and prevention strategies.
Understanding the genetics of kidney function decline, or trait change in general, is hampered by scarce longitudinal data for GWAS (longGWAS) and uncertainty about how to analyze such data. We use longitudinal UK Biobank data for creatinine-based estimated glomerular filtration rate from 348,275 individuals to search for genetic variants associated with eGFR-decline. This search was performed both among 595 variants previously associated with eGFR in cross-sectional GWAS and genome-wide.
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- This study investigates the link between an epigenetic risk score (ERS) related to alcohol consumption and blood pressure traits, finding significant associations between higher ERS and increased blood pressure levels among participants.
- In the analysis of 3,898 individuals from the Framingham Heart Study, each unit increase in the ERS correlated with a rise in systolic blood pressure (SBP) by almost 2 mm Hg and diastolic blood pressure (DBP) by about 0.68 mm Hg.
- The research suggests that the ERS could serve as a useful tool for assessing cardiovascular risks linked to alcohol consumption, especially in cases where self-reported data may be unreliable.
Aims: A data-driven cluster analysis in a cohort of European individuals with type 2 diabetes (T2D) has previously identified four subgroups based on clinical characteristics. In the current study, we performed a comprehensive statistical assessment to (1) replicate the above-mentioned original clusters; (2) derive de novo T2D subphenotypes in the Kooperative Gesundheitsforschung in der Region Augsburg (KORA) cohort and (3) describe underlying genetic risk and diabetes complications.
Methods: We used data from n = 301 individuals with T2D from KORA FF4 study (Southern Germany).