Publications by authors named "Jenny van Dongen"

Cigarette smoking is associated with numerous differentially-methylated genomic loci in multiple human tissues. These associations are often assumed to reflect the causal effects of smoking on DNA methylation (DNAm), which may underpin some of the adverse health sequelae of smoking. However, prior causal analyses with Mendelian Randomisation (MR) have found limited support for such effects.

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Microbiome influences multiple human systems, but its effects on gene methylation is unknown. We investigated the relations between gene methylation in blood and the abundance of common gut bacteria profiled by 16s rRNA gene sequencing in two population-based Dutch cohorts: LifeLines-Deep (LLD, n = 616, discovery) and the Netherlands Twin Register (NTR, n = 296, replication). In LLD, we also explored microbial pathways using data generated by shotgun metagenomic sequencing (n = 683).

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Monozygotic (MZ) and dizygotic (DZ) twins are studied to understand genetic and environmental influences on complex traits, however the mechanisms behind twinning are not completely understood. (Epi)genomic studies identified SNPs associated with DZ twinning and DNA methylation sites with MZ twinning. To find molecular biomarkers of twinning, we compared transcriptomics and metabolomics data from MZ and DZ twins.

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We aimed to understand the long-term impact of negative life events on epigenetic aging in 1783 adults from the Netherlands Twin Register, analyzing five epigenetic biomarkers (Hannum, Horvath, PhenoAge, GrimAge, DunedinPACE) and a series of negative life events, including victimization and economic hardship. In population-level analyses, associations between a higher number of negative life events (particularly financial adversities, sexual crimes, and job loss) were seen for the GrimAge biomarker. The association between the number of negative life events and financial problems and epigenetic age acceleration measured by the GrimAge biomarker persisted after adjusting for BMI, smoking, and white blood cell counts.

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Background: Asthma, a complex respiratory disease, presents with inflammatory symptoms in the lungs, blood, and other tissues. We investigated the relationship between DNA methylation and 35 clinical markers of asthma.

Methods: The Illumina Infinium EPIC v1 methylation array was used to evaluate 742,442 CpGs in whole blood from 319 participants from 94 families.

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Background: Obesity may affect an individual's immune response and subsequent risk of infection, such as a SARS-CoV-2 infection. It is less clear whether overweight and long-term obesity also constitute risk factors. We investigated the association between the degree and duration of overweight and obesity and SARS-CoV-2 infection.

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Background/objectives: Human identical twins are born at a rate of 3-4 per 1000 live births. Many other mammals also occasionally produce monozygotic twins, referred to as sporadic polyembryony. The underlying mechanisms are unknown.

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Social support is often considered an environmental factor affecting health, especially in aging populations. However, its genetic underpinnings suggest a more complex origin. This study investigates the heritability of social support through applying a threshold model on data of a large adult sample of twins ( = 8019) from the Netherlands Twin Register, collected between 2009 and 2011.

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Article Synopsis
  • Previous studies indicated that mothers of naturally conceived DZ twins are typically taller, older, and more likely to smoke than those of MZ twins or singletons, prompting further investigation into maternal traits related to fertility among different groups of twin mothers.* -
  • Research compared mothers of naturally conceived DZ twins with those who conceived DZ twins through medically assisted reproduction (MAR), examining factors such as maternal age, smoking habits, body composition, and prior offspring.* -
  • Findings revealed that naturally conceived DZ twin mothers have fewer miscarriages, higher maternal age, and are more often smokers compared to MAR twin mothers, highlighting the diversity within twin mother populations that should be considered in future genetic and epidemiological studies.*
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Background: H-NMR metabolomics and DNA methylation in blood are widely known biomarkers predicting age-related physiological decline and mortality yet exert mutually independent mortality and frailty signals.

Methods: Leveraging multi-omics data in four Dutch population studies (N = 5238, ∼40% of which male) we investigated whether the mortality signal captured by H-NMR metabolomics could guide the construction of DNA methylation-based mortality predictors.

Findings: We trained DNA methylation-based surrogates for 64 metabolomic analytes and found that analytes marking inflammation, fluid balance, or HDL/VLDL metabolism could be accurately reconstructed using DNA-methylation assays.

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Background: Asthma, a complex respiratory disease, presents with inflammatory symptoms in the lungs, blood, and other tissues. We investigated the relationship between DNA methylation and 35 clinical markers of asthma. The Illumina Infinium EPIC v1 methylation array was used to evaluate 742,442 CpGs in whole blood samples from 319 participants.

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Regular cigarette smoking and cannabis consumption are strongly positively related to each other, yet few studies explore their underlying variation and covariation. We evaluated the genetic and environmental decomposition of variance and covariance of these two traits in twin data from three countries with different social norms and legislation. Data from the Netherlands Twin Register, FinnTwin12/16, and the Minnesota Center for Twin Family Research (total N = 21,617) were analyzed in bivariate threshold models of lifetime regular smoking initiation (RSI) and lifetime cannabis initiation (CI).

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Cigarette smoking is associated with numerous differentially-methylated genomic loci in multiple human tissues. These associations are often assumed to reflect the causal effects of smoking on DNA methylation (DNAm), which may underpin some of the adverse health sequelae of smoking. However, prior causal analyses with Mendelian Randomisation (MR) have found limited support for such effects.

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Background: Type 2 diabetes (T2D) susceptibility is influenced by genetic and environmental factors. Previous findings suggest DNA methylation as a potential mechanism in T2D pathogenesis and progression.

Methods: We profiled DNA methylation in 248 blood samples from participants of European ancestry from 7 twin cohorts using a methylation sequencing platform targeting regulatory genomic regions encompassing 2,048,698 CpG sites.

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Background: Applying good data management and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles in research projects can help disentangle knowledge discovery, study result reproducibility, and data reuse in future studies. Based on the concepts of the original FAIR principles for research data, FAIR principles for research software were recently proposed. FAIR Digital Objects enable discovery and reuse of Research Objects, including computational workflows for both humans and machines.

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Article Synopsis
  • The study investigates how genetics and environment influence the relationship between plasma proteins and body mass index (BMI) in adolescents and adults, linking these findings to other biological data (omics).
  • Using two cohorts of twins, researchers analyzed protein levels and their associations with BMI over time, revealing significant genetic and environmental factors affecting these proteins.
  • They identified 66 proteins linked to BMI and 14 related to changes in BMI, highlighting the complex interactions between genetic make-up, environmental influences, and protein abundance.
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Spontaneous dizygotic (DZ) twins, i.e. twins conceived without the use of ARTs, run in families and their prevalence varies widely around the globe.

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Article Synopsis
  • Researchers conducted a study to identify genetic factors influencing the likelihood of women giving birth to spontaneous dizygotic (DZ) twins, uncovering four new loci: GNRH1, FSHR, ZFPM1, and IPO8, alongside previously known loci FSHB and SMAD3.
  • * The study involved a large genome-wide association meta-analysis (GWAMA) of over 700,000 participants, focusing on mothers of spontaneous DZ twins and their offspring, excluding cases from assisted reproductive technologies (ARTs).
  • * Findings indicate that the newly identified loci play roles in female reproduction, and significant correlations were found with various reproductive traits and body size, suggesting evolutionary pressures against DZ twinning in humans.
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  • A study looked at how using cannabis might affect DNA changes in people by analyzing information from 9,436 participants worldwide.
  • They found four specific DNA spots (called CpG sites) linked to all cannabis users, not just smokers, and discovered one more site connected to those who never smoked cigarettes.
  • This research helps scientists understand how cannabis might influence health by showing that its effects on DNA can happen independently from smoking cigarettes.
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The field of DNA methylation research is rapidly evolving, focusing on disease and phenotype changes over time using methylation measurements from diverse tissue sources and multiple array platforms. Consequently, identifying the extent of longitudinal, inter-tissue, and inter-platform variation in DNA methylation is crucial for future advancement. DNA methylation was measured in 375 individuals, with 197 of those having 2 blood sample measurements ~10 years apart.

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Establishing causal relationships in observational studies is an important step in research and policy decision making. The association between an exposure and an outcome can be confounded by multiple factors, often making it hard to draw causal conclusions. The co-twin control design (CTCD) is a powerful approach that allows for the investigation of causal effects while controlling for genetic and shared environmental confounding factors.

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Background: Smoking-associated DNA methylation levels identified through epigenome-wide association studies (EWASs) are generally ascribed to smoking-reactive mechanisms, but the contribution of a shared genetic predisposition to smoking and DNA methylation levels is typically not accounted for.

Methods: We exploited a strong within-family design, that is, the discordant monozygotic twin design, to study reactiveness of DNA methylation in blood cells to smoking and reversibility of methylation patterns upon quitting smoking. Illumina HumanMethylation450 BeadChip data were available for 769 monozygotic twin pairs (mean age = 36 years, range = 18-78, 70% female), including pairs discordant or concordant for current or former smoking.

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Article Synopsis
  • The study explores multi-omics, combining genomics, epigenomics, and metabolomics data to identify biomarkers for Attention-Deficit/Hyperactivity Disorder (ADHD).
  • Using a sample of 596 twins, researchers developed models to distinguish between ADHD cases and controls, identifying significant factors such as 30 polygenic scores, 143 CpGs, and 90 metabolites.
  • Although the models showed promise in initial predictions, performance declined in out-of-sample testing, highlighting the need for multi-omics approaches to deepen our understanding of ADHD's complex biology.
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In studies of singletons, a range of early-life characteristics have been reported to be associated with handedness, but some of these associations have failed to replicate. We examined associations between 23 early life characteristics with handedness in a large sample of 37,495 5-year-old twins. We considered three definitions of handedness: left-handedness (LH), mixed-handedness (MH), and non-right-handedness (NRH).

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Background: The influence of genetics and environment on the association of the plasma proteome with body mass index (BMI) and changes in BMI remain underexplored, and the links to other omics in these associations remain to be investigated. We characterized protein-BMI trajectory associations in adolescents and adults and how these connect to other omics layers.

Methods: Our study included two cohorts of longitudinally followed twins: FinnTwin12 (=651) and the Netherlands Twin Register (NTR) (=665).

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