646 results match your criteria: "Institute of Epidemiology II[Affiliation]"

Large-scale exome array summary statistics resources for glycemic traits to aid effector gene prioritization.

Wellcome Open Res

October 2023

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.

Article Synopsis
  • Genome-wide association studies have found numerous genetic loci linked to glycemic traits, but connecting these loci to specific genes and biological pathways remains a challenge.
  • Researchers conducted meta-analyses of exome-array studies across four glycemic traits, analyzing data from over 144,000 participants, which led to the identification of coding variant associations in more than 60 genes.
  • The study revealed significant pathways related to insulin secretion, zinc transport, and fatty acid metabolism, enhancing understanding of glycemic regulation and making data available for further research.
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Unlabelled: Cigarette smoke, containing both nicotine and carcinogens, causes lung cancer. However, not all smokers develop lung cancer, highlighting the importance of the interaction between host susceptibility and environmental exposure in tumorigenesis. Here, we aimed to delineate the interaction between metabolizing ability of tobacco carcinogens and smoking intensity in mediating genetic susceptibility to smoking-related lung tumorigenesis.

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Background And Aims: Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a key regulator of lipid homeostasis. A few earlier genome-wide association studies (GWAS) investigated genetic variants associated with circulating PCSK9 concentrations. However, uncertainty remains about some of the genetic loci discovered beyond the PCSK9 locus.

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Article Synopsis
  • Vaspin is a protein linked to obesity that may influence metabolism, but its exact role is still unclear; researchers aimed to understand its genetic variability and impact on metabolic traits.
  • A meta-analysis of data from 6 studies involving nearly 7,450 people identified significant genetic variants associated with vaspin levels and conducted further analyses to explore its causal relationship with lipid traits.
  • Results indicated that vaspin levels are genetically determined and have a causal effect on lipid metabolism, as evidenced by changes in triglyceride levels in treated mice.
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Article Synopsis
  • Researchers examined genetic factors influencing insulin levels after a glucose challenge in over 55,000 people from different ancestry groups, identifying ten new genetic locations linked to postprandial insulin resistance.
  • * They found that many of these loci share genetics with type 2 diabetes, suggesting a common underlying mechanism.
  • * The study also highlighted nine candidate genes affecting GLUT4, a key glucose transporter, which plays an important role in glucose uptake during the post-meal state.
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Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials.

Lancet Diabetes Endocrinol

January 2023

Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK. Electronic address:

Background: In the treatment of type 2 diabetes, GLP-1 receptor agonists lower blood glucose concentrations, body weight, and have cardiovascular benefits. The efficacy and side effects of GLP-1 receptor agonists vary between people. Human pharmacogenomic studies of this inter-individual variation can provide both biological insight into drug action and provide biomarkers to inform clinical decision making.

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Extensive identification of genes involved in congenital and structural heart disorders and cardiomyopathy.

Nat Cardiovasc Res

February 2022

Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich (GmbH), German Research Center for Environmental Health, Neuherberg, Germany.

Article Synopsis
  • - The study investigates the genetic factors underlying congenital heart disease by screening nearly 3,900 mouse gene mutations for cardiac issues, finding 705 lines with conditions like arrhythmia and myocardial hypertrophy.
  • - Out of these, 486 genes are newly linked to heart dysfunction, including variants of unknown relevance (VUR), with specific mutations in five genes (Casz1, Dnajc18, Pde4dip, Rnf38, Tmem161b) leading to notable structural heart defects.
  • - Using data from the UK Biobank, the research further confirms the role of the DNAJC18 gene in heart function, highlighting its loss as linked to changes in cardiac performance, thus identifying new potential targets for understanding
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Genetic insights into biological mechanisms governing human ovarian ageing.

Nature

August 2021

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK.

Article Synopsis
  • This research identifies 290 genetic factors linked to ovarian ageing by analyzing the age at natural menopause in 200,000 European women, highlighting how genetics can influence reproductive lifespan.* -
  • The study reveals that these genetic variants are connected to DNA damage response processes that impact ovarian reserve and depletion rates, suggesting potential therapeutic targets.* -
  • Manipulating these pathways in experimental models showed promise in boosting fertility and extending reproductive longevity, while also indicating benefits and risks for women's overall health, such as improved bone health but increased cancer risk.*
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Gender-linked determinants for utilization of long-term care in community-dwelling adults 65+ in Germany: Results from the population-based KORA-Age study.

Exp Gerontol

October 2021

Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Parkring 11/III, 95748 Garching-Hochbrück, Germany; Quality Management and Gender Medicine, München Klinik Schwabing, Kölner Platz 1, 80804 Munich, Germany. Electronic address:

Background: The number of people using long-term care (LTC) is increasing steadily, hence, demand for adequate services is rising. The purpose of this exploratory study was to identify relevant gender-linked determinants for utilization of LTC in community-dwelling older adults.

Methods: We examined 4077 females (52.

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Prediction of type 2 diabetes mellitus based on nutrition data.

J Nutr Sci

January 2022

Chair of Genetic Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.

Numerous predictive models for the risk of type 2 diabetes mellitus (T2DM) exist, but a minority of them has implemented nutrition data so far, even though the significant effect of nutrition on the pathogenesis, prevention and management of T2DM has been established. Thus, in the present study, we aimed to build a predictive model for the risk of T2DM that incorporates nutrition data and calculates its predictive performance. We analysed cross-sectional data from 1591 individuals from the population-based Cooperative Health Research in the Region of Augsburg (KORA) FF4 study (2013-14) and used a bootstrap enhanced elastic net penalised multivariate regression method in order to build our predictive model and select among 193 food intake variables.

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Chronically elevated branched chain amino acid levels are pro-arrhythmic.

Cardiovasc Res

June 2022

Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam UMC, Location AMC, Room K2-104.2, Meibergdreef 9, PO Box 22700, 1100 DE Amsterdam, The Netherlands.

Article Synopsis
  • Cardiac arrhythmias are a significant health issue linked to high morbidity and mortality, but understanding their mechanisms is still incomplete, prompting this research to uncover novel pathways behind these conditions.
  • Researchers conducted a genetic study using a mouse model that showed early sudden death due to a mutation in the Bcat2 gene, leading to high levels of branched chain amino acids (BCAAs) and cardiac issues such as arrhythmias and disrupted heart function.
  • The study found a direct connection between elevated BCAAs and arrhythmias, revealing that mTOR pathway activation plays a critical role, which could impact how we understand and treat these heart conditions.
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Cis-epistasis at the LPA locus and risk of cardiovascular diseases.

Cardiovasc Res

March 2022

Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München, 80636 Munich, Germany.

Aims: Coronary artery disease (CAD) has a strong genetic predisposition. However, despite substantial discoveries made by genome-wide association studies (GWAS), a large proportion of heritability awaits identification. Non-additive genetic effects might be responsible for part of the unaccounted genetic variance.

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Background: Although work stress and impaired sleep are established risk factors for cardiovascular disease (CVD) among healthy individuals, their impact on hypertensive workers is largely unknown.

Design: Prospective cohort study design.

Methods: Hypertensive workers (N = 1959), derived from the population-based MONICA/KORA study in Southern Germany, who were free of any cardiovascular disease and diabetes were interviewed at baseline for work stress (high demand plus low control) and impaired sleep (difficulties falling asleep and/or maintaining sleep).

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Background: DNA methylation is a key epigenetic modification that can directly affect gene regulation. DNA methylation is highly influenced by environmental factors such as cigarette smoking, which is causally related to chronic obstructive pulmonary disease (COPD) and lung cancer. To date, there have been few large-scale, combined analyses of DNA methylation and gene expression and their interrelations with lung diseases.

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Article Synopsis
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Background: Neurofilament light chain (NfL) is a cytoskeletal protein component whose release into blood is indicative of neuronal damage. Tau is a microtubule-associated protein in neurons and strongly associated with overall brain degeneration. NfL and tau levels are associated with mortality in different neurological diseases, but studies in the general population are missing.

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Spatiotemporal Characteristics and Driving Factors of Black Carbon in Augsburg, Germany: Combination of Mobile Monitoring and Street View Images.

Environ Sci Technol

January 2021

Joint Mass Spectrometry Center, Cooperation Group Comprehensive Molecular Analytics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, Neuherberg 85764, Germany.

The study investigates the spatial pattern of black carbon (BC) at a high spatial resolution in Augsburg, Germany. Sixty two walks were performed to assess the concentrations of equivalent black carbon (eBC), ultraviolet particulate matter (UVPM), and equivalent brown carbon (eBrC) in different seasons and at different times of the day with a mobile platform (i.e.

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Background: Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D). Early diagnosis of NAFLD is important, as this can help prevent irreversible damage to the liver and, ultimately, hepatocellular carcinomas. We sought to expand etiological understanding and develop a diagnostic tool for NAFLD using machine learning.

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Human protein glycosylation is a complex process, and its in vivo regulation is poorly understood. Changes in glycosylation patterns are associated with many human diseases and conditions. Understanding the biological determinants of protein glycome provides a basis for future diagnostic and therapeutic applications.

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Few germline mutations are known to affect lung cancer risk. We performed analyses of rare variants from 39,146 individuals of European ancestry and investigated gene expression levels in 7,773 samples. We find a large-effect association with an ATM L2307F (rs56009889) mutation in adenocarcinoma for discovery (adjusted Odds Ratio = 8.

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Objectives: To examine three walkability measures (points of interest (POI), transit stations and impedance (restrictions to walking) within 640 m of participant's addresses) in different regions in Germany and assess the relationships between walkability, walking/cycling and body mass index (BMI) using generalised additive models.

Setting: Five different regions and cities of Germany using data from five cohort studies.

Participants: For analysing walking/cycling behaviour, there were 6269 participants of a pooled sample from three cohorts with a mean age of 59.

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Lipoprotein(a) [Lp(a)] is a major cardiovascular risk factor, which is largely genetically determined by one major gene locus, the LPA gene. Many aspects of the transcriptional regulation of LPA are poorly understood and the role of epigenetics has not been addressed yet. Therefore, we conducted an epigenome-wide analysis of DNA methylation on Lp(a) levels in two population-based studies (total n = 2208).

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Article Synopsis
  • Researchers derived an equation to estimate pulse wave velocity (ePWV) based on age and mean blood pressure, showing it can predict cardiovascular events independently of other common risk assessment tools like SCORE and Framingham Risk Score.
  • The study analyzed data from over 107,000 healthy individuals aged 19 to 97 across multiple countries, examining how ePWV relates to various clinical outcomes and mortality through detailed statistical modeling.
  • Results indicated that higher ePWV was linked to increased all-cause mortality and cardiovascular issues, but when adjusted for traditional risk factors, its association with cardiovascular mortality and composite end points was not significant.
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Urbanisation and industrialisation led to the increase of ambient particulate matter (PM) concentration. While subsequent regulations may have resulted in the decrease of some PM matrices, the simultaneous changes in climate affecting local meteorological conditions could also have played a role. To gain an insight into this complex matter, this study investigated the long-term trends of two important matrices, the particle mass (PM) and particle number concentrations (PNC), and the factors that influenced the trends.

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