Publications by authors named "Helena Bui"

Article Synopsis
  • 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.
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  • Scientists studied how drinking alcohol affects our DNA and blood pressure.
  • They found that for each drink a person consumes daily, blood pressure increases a bit and they are more likely to develop high blood pressure.
  • However, over time, drinking habits didn't seem to change blood pressure levels, showing that tracking alcohol effects can help understand health.
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  • Scientists studied how drinking alcohol affects our health by looking at changes in our DNA caused by alcohol, called DNA methylation.
  • They created a special score to measure the effects of alcohol on people's health using data from nearly 4,000 people.
  • They found that higher alcohol consumption was linked to increased blood pressure, but it didn't change over time or cause long-term issues with high blood pressure.
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Background: Identifying novel epigenetic signatures associated with serum immunoglobulin E (IgE) may improve our understanding of molecular mechanisms underlying asthma and IgE-mediated diseases.

Methods: We performed an epigenome-wide association study using whole blood from Framingham Heart Study (FHS; n = 3,471, 46% females) participants and validated results using the Childhood Asthma Management Program (CAMP; n = 674, 39% females) and the Genetic Epidemiology of Asthma in Costa Rica Study (CRA; n = 787, 41% females). Using the closest gene to each IgE-associated CpG, we highlighted biologically plausible pathways underlying IgE regulation and analyzed the transcription patterns linked to IgE-associated CpGs (expression quantitative trait methylation loci; eQTMs).

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Expression quantitative trait methylation (eQTM) analysis identifies DNA CpG sites at which methylation is associated with gene expression. The present study describes an eQTM resource of CpG-transcript pairs derived from whole blood DNA methylation and RNA sequencing gene expression data in 2115 Framingham Heart Study participants. We identified 70,047 significant cis CpG-transcript pairs at p < 1E-7 where the top most significant eGenes (i.

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Article Synopsis
  • A genome-wide association study (GWAS) was conducted using DNA and RNA sequencing from 2,622 participants in the Framingham Heart Study, leading to the identification of over 6.7 million cis-eQTL and nearly 1.5 million trans-eQTL variant-gene pairs.
  • The study revealed that cis-eQTL variants are enriched for SNPs linked to 815 traits from previous GWAS and are associated with immune functions and various diseases, including cardiovascular risk factors.
  • The eQTL resource developed through this research will be made available for further exploration, enabling causal inference testing for health issues like COVID-19 severity and improving the understanding of the genetic basis of disease.
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Article Synopsis
  • - The study investigated DNA methylation at CpG sites in 4,126 participants of the Framingham Heart Study, identifying a vast number of mQTL (DNA methylation quantitative trait loci) pairs related to diseases, particularly cardiovascular disease (CVD) risk factors.
  • - Researchers found many CpGs associated with CVD traits, notably linking specific variants to conditions like type 2 diabetes and coronary artery disease through Mendelian randomization analysis, indicating potential causal relationships.
  • - The findings, including connections to COVID-19 severity, are compiled in a comprehensive dataset available on the National Heart, Lung, and Blood Institute's BioData Catalyst for further research on DNA methylation and disease.
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Article Synopsis
  • Conducted a genome-wide association study (GWAS) using whole genome sequencing and RNA sequencing from 2,622 participants to create a comprehensive eQTL resource, identifying over 6.7 million variant-gene pairs.
  • Found that a significant number of eQTL variants are linked to immune functions and previous traits, with specific associations established for diseases like cardiovascular issues and COVID-19.
  • This eQTL resource will be accessible to the scientific community via BioData Catalyst, enhancing understanding of gene expression genetics related to various diseases.
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To create a scientific resource of expression quantitative trail loci (eQTL), we conducted a genome-wide association study (GWAS) using genotypes obtained from whole genome sequencing (WGS) of DNA and gene expression levels from RNA sequencing (RNA-seq) of whole blood in 2622 participants in Framingham Heart Study. We identified 6,778,286 -eQTL variant-gene transcript (eGene) pairs at <5×10 (2,855,111 unique -eQTL variants and 15,982 unique eGenes) and 1,469,754 -eQTL variant-eGene pairs at <1e-12 (526,056 unique -eQTL variants and 7,233 unique eGenes). In addition, 442,379 -eQTL variants were associated with expression of 1518 long non-protein coding RNAs (lncRNAs).

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Background: Asthma is a complex respiratory condition caused by environmental and genetic factors. Although lower concentrations of the anti-inflammatory protein soluble receptor for advanced glycation end products (sRAGE) have been associated with asthma in humans and mouse models, it is uncertain whether sRAGE plays a causal role in asthma.

Objective: We designed a 2-stage study of sRAGE in relation to asthma with association analysis in FHS participants as well as causal inference testing using Mendelian randomization (MR).

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  • Selenium's cancer-preventive mechanism involves low concentrations interacting with cellular targets, selectively targeting tumor cells while minimizing diffusion from the generation site.
  • It operates through the inactivation of protein kinase C (PKC) by methylselenol and methylseleninic acid (MSA), which disrupts tumor-promoting lipid hydroperoxide interactions, leading to cell death in susceptible cancer cells.
  • The relationship between dietary selenium and cancer prevention shows a U-shaped curve; lower selenium concentrations induce cell death in certain cancer types, while higher levels can paradoxically render tumor cells resistant to apoptosis.
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Although the function of laminin in the basement membrane is known, the function of soluble "neuronal" laminin is unknown. Since laminin is neuroprotective, we determined whether the soluble laminin-1 induces signaling for neuroprotection via its 67KDa laminin-1 receptor (67LR). Treatment of Neuroscreen-1 (NS-1) cells with laminin-1 or YIGSR peptide, which corresponds to a sequence in laminin-1 β1 chain that binds to 67LR, induced a decrease in the cell-surface expression of 67LR and caused its internalization.

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