Publications by authors named "Sandra van der Auwera"

Background: Accurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive disorder (MDD).

Aims: We use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores (PRS) that may aid early differential diagnosis.

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  • - White matter hyperintensities indicate damage in the brain's white matter, which can lead to brain shrinkage and is linked to dementia; a study of over 51,000 people found that larger volumes of these hyperintensities correspond to thinner brain cortex.
  • - Researchers identified 20 significant genetic loci related to white matter hyperintensities that affect genes involved in brain cell types known to support vascular health and neuronal function; some of these genes play roles in processes like axonal structure and transport within the brain.
  • - The genetic traits tied to white matter issues were linked to cardiovascular health, neurodegeneration markers, and poorer cognitive performance, with a polygenic risk score effectively predicting dementia risk in a separate large
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Objective And Design: Inflammatory processes are an important part of the etiology of many chronic diseases across various medical domains, including neurodegeneration. Understanding their regulation on the molecular level represents a major challenge. Regulatory microRNAs (miRNAs), have been recognized for their role in post-transcriptionally modulating immune-related pathways serving as biomarkers for numerous diseases.

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  • The study tackles the challenges of understanding major depressive disorder (MDD) by examining multimorbidities to identify specific subtypes influenced by genetic and non-genetic factors.
  • The researchers analyzed data from 1.2 million individuals across the UK, Finland, and Spain, using dynamic Bayesian network approaches to discover seven distinct clusters of disease burdens linked to MDD.
  • Findings highlight the importance of inflammatory processes and suggest that personalized treatments for MDD could be developed based on the unique profiles of patients' genetic and clinical risk factors.
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Telomere shortening is a prominent hallmark of aging and is emerging as a characteristic feature of Myelodysplastic Syndromes (MDS) and Idiopathic Pulmonary Fibrosis (IPF). Optimal telomerase activity prevents progressive shortening of telomeres that triggers DNA damage responses. However, the upstream regulation of telomerase holoenzyme components remains poorly defined.

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Resilience is the capacity to adapt to stressful life events. As such, this trait is associated with physical and mental functions and conditions. Here, we aimed to identify the genetic factors contributing to shape resilience.

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  • * A genome-wide association meta-analysis of nearly 122,000 ANX cases revealed 58 significant genetic variants and 66 related genes, with many of these findings replicated in a larger independent sample.
  • * The findings indicate a substantial genetic overlap between ANX and other conditions like depression, emphasizing GABAergic signaling as a key mechanism, thereby enhancing our understanding of the genetic basis of ANX for future research.
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  • Major depressive disorder (MDD) has diverse comorbidities that complicate understanding its biological mechanisms; previous research identified seven clusters based on genetic and environmental risk factors.
  • Our study analyzed data from over 77,000 participants to explore gene-by-environment interactions, specifically focusing on childhood trauma's impact within these clusters.
  • Significant genetic findings included unique SNPs associated with high-comorbidity clusters, while established candidates for childhood maltreatment and depression were also replicated, confirming links between genetic risk and trauma exposure.
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  • * Neuroimaging reveals that many of these genetic variants have widespread effects on brain regions and are linked to various cancers and specific signaling pathways, such as p53 and Wnt.
  • * The findings suggest a connection between the genes that regulate head size and the likelihood of cancer, emphasizing the need for further research on the implications of this relationship.
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  • Accurately diagnosing bipolar disorder (BD) can take around 7 years due to its overlap with unipolar major depressive disorder (MDD), especially since the first manic episode often follows a depressive one.
  • This study uses genome-wide association analyses (GWAS) and polygenic risk scores (PRS) from a large cohort to identify genetic factors that could help differentiate between BD and MDD early on.
  • The results show that while BD and MDD are genetically distinct and share a continuum of genetic risk, larger future studies are needed to enhance the accuracy of these genetic predictors for early diagnosis.
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White matter lesions (WML) emerge as a consequence of vascular injuries in the brain. While they are commonly observed in aging, associations have been established with neurodegenerative and neurological disorders such as dementia or stroke. Despite substantial research efforts, biological mechanisms are incomplete and biomarkers indicating WMLs are lacking.

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  • Research on verbal declarative memory (VDM) aims to understand the genetic factors that influence memory decline and dementia in older adults to develop potential interventions.
  • The study analyzed data from over 29,000 older, non-demented Europeans to explore relationships between genetic variants, gene expression, and brain tissues, finding significant associations across various pathways.
  • Results indicated that genetic variations linked to VDM are regulated by genes, transcription factors, and immune-related pathways, highlighting their importance in cognitive performance among older individuals.
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Depression is a highly prevalent and debilitating condition, yet we still lack both in-depth knowledge concerning its etiopathology and sufficiently efficacious treatment options. With approximately one third of patients resistant to currently available antidepressants there is a pressing need for a better understanding of depression, identifying subgroups within the highly heterogeneous illness category and to understand the divergent underlying biology of such subtypes, to help develop and personalise treatments. The TRAJECTOME project aims to address such challenges by (1) identifying depression-related multimorbidity subgroups and shared molecular pathways based on temporal disease profiles from healthcare systems and biobank data using machine learning approaches, and by (2) characterising these subgroups from multiple aspects including genetic variants, metabolic processes, lifestyle and environmental factors.

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Alzheimer's disease (AD) is a progressive neurodegenerative disease representing the most common type of dementia in older adults. The major risk factors include increased age, genetic predisposition and socioeconomic factors. Among the genetic factors, the apolipoprotein E (ApoE) ε4 allele poses the greatest risk.

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Deficits in cognitive function and memory are common early symptoms of neurodegenerative disorders, such as Alzheimer's Disease (AD). Several studies have discussed micro RNAs (miRNAs) as potential epigenetic early detection biomarkers. In a longitudinal general population sample (n = 548) from the Study of Health in Pomerania, we analyzed the associations between 167 baseline miRNA levels and changes in verbal memory scores with a mean follow-up time of 7.

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The aim of this study was to disentangle the effects of various genetic factors on hippocampal subfield volumes using three different approaches: a biologically driven candidate gene approach, a hypothesis-free GWAS approach, and a polygenic approach, where AD risk alleles are combined with a polygenic risk score (PRS). The impact of these genetic factors was investigated in a large dementia-free general population cohort from the Study of Health in Pomerania (SHIP, = 1806). Analyses were performed using linear regression models adjusted for biological and environmental risk factors.

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Although the common pathology of Alzheimer's disease (AD) and white matter hyperintensities (WMH) is disputed, the gene has been implicated in both conditions: its whole-blood gene expression was associated with WMH volume and its missense variant rs3747742 with AD risk. We re-examined those associations within one comprehensive dataset of the general population, additionally searched for cross-relations and illuminated the role of the apolipoprotein E () ε4 status in the associations. For our linear regression and linear mixed effect models, we used 1949 participants from the Study of Health in Pomerania (Germany).

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Introduction: Supplementation with spermidine may support healthy aging, but elevated spermidine tissue levels were shown to be an indicator of Alzheimer's disease (AD).

Methods: Data from 659 participants (age range: 21-81 years) of the population-based Study of Health in Pomerania TREND were included. We investigated the association between spermidine plasma levels and markers of brain aging (hippocampal volume, AD score, global cortical thickness [CT], and white matter hyperintensities [WMH]).

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  • Vitamin D deficiency is linked to poorer cognitive function and potential neurodegenerative issues, prompting a study on its relationship with brain aging using MRI data from 1,865 individuals.* -
  • Analysis revealed that lower levels of vitamin D are associated with increased brain age and reduced total and gray matter volumes, particularly in men, although no significant impact on hippocampal volume was found.* -
  • The findings support the idea that vitamin D may have neuroprotective effects, suggesting that deficiency could lead to accelerated brain aging.*
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  • Scientists have found many tiny changes in our genes that can affect depression, showing it's a complex issue with many factors involved.
  • One of these genes, called 5-HTTLPR, might work together with other genes to influence if someone gets depressed.
  • In a big study with over 127,000 people, researchers discovered a specific gene, DPF1, that seems to interact with 5-HTTLPR and might be important for understanding depression better.
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(1) Background: The aim of this study was to replicate a reported interaction between APOE ε4 status and depression on memory function in two independent, nondemented samples from the general population and to examine the potential role of circulating plasma miRNAs. (2) Methods: The impact of the APOE ε4 allele on verbal memory and the interaction with depression is investigated in two large general-population cohorts from the Study of Health in Pomerania (SHIP, total = 6286). Additionally, biological insights are gained by examining the potential role of circulating plasma miRNAs as potential epigenetic regulators.

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The hypothalamus-pituitary-adrenal axis is the main physiological stress response system and regulating the release of cortisol. The two corticoid receptors encoded by the genes NR3C1 and NR3C2 are the main players in regulating the physiological response to cortisol. This biological system has been linked to neurocognitive processes and memory, yet the mechanisms remain largely unclear.

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The Apolipoprotein E (APOE) gene polymorphism (rs429358 and rs7412) shows a well-established association with lipid profiles, but its effect on cardiovascular disease is still conflicting. Therefore, we examined the association of different APOE alleles with common carotid artery intima-media thickness (CCA-IMT), carotid plaques, incident myocardial infarction (MI) and stroke. We analyzed data from 3327 participants aged 20-79 years of the population-based Study of Health in Pomerania (SHIP) from Northeast Germany with a median follow-up time of 14.

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Background: Alexithymia ("no word for feelings") is a personality feature that is common in patients with psychiatric disorders. However, little is known about biological causes and mechanism behind. Research so far focusses on genetic risk variants primary associated with depression, but analyses on epigenetic mechanisms are still missing.

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