Publications by authors named "TianXiao Huan"

The relationship between mitochondrial DNA (mtDNA) heteroplasmy and nuclear DNA (nDNA) methylation (CpGs) remains to be studied. We conducted an epigenome-wide association analysis of heteroplasmy burden scores across 10,986 participants (mean age 77, 63% women, and 54% non-White races/ethnicities) from seven population-based observational cohorts. We identified 412 CpGs (FDR p < 0.

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We created a comprehensive whole blood splice variation quantitative trait locus (sQTL) resource by analyzing isoform expression ratio (isoform-to-gene) in Framingham Heart Study (FHS) participants (discovery: n=2,622; validation: n=1,094) with whole genome (WGS) and transcriptome sequencing (RNA-seq) data. External replication was conducted using WGS and RNA-seq from the Jackson Heart Study (JHS, n=1,020). We identified over 3.

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Breast cancer is the second leading cause of cancer deaths among women. Multiple microRNAs (miRNAs) have been reported to be associated with breast cancer progression or metastasis. The purpose of the current study was to identify plasma extracellular miRNAs associated with incident breast cancer.

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Background: The association of overall cardiovascular health (CVH) with changes in DNA methylation (DNAm) has not been well characterized.

Methods: We calculated the American Heart Association's Life's Essential 8 (LE8) score to reflect CVH in five cohorts with diverse ancestry backgrounds. Epigenome-wide association studies (EWAS) for LE8 score were conducted, followed by bioinformatic analyses.

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Background: Impaired pulmonary function carries significant risks for lung, cardiovascular, and metabolic disorders.

Research Question: Can circulating protein biomarkers of pulmonary function provide insight into the pathophysiologic features of lung function impairment and links to comorbidities?.

Study Design And Methods: We analyzed plasma levels of 2,922 proteins in 32,493 UK Biobank participants (53% female; mean [SD] age, 57 [8] years) to investigate their associations with spirometry measures of lung function (FEV, FVC, FEV to FVC ratio), and with obstructive (n = 4,713) and restrictive (n = 3,886) spirometry patterns.

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Article Synopsis
  • MicroRNAs (miRNAs) are small non-coding RNAs that play a crucial role in regulating gene expression and may serve as biomarkers for various diseases through their presence in plasma.
  • The study analyzed 2083 plasma circulating miRNAs from participants in the Rotterdam Study, uncovering 3292 associations between SNPs and miRNAs, with a significant portion confirmed in further studies.
  • Findings suggest that specific miRNAs can influence a range of clinical conditions, with miR-1908-5p showing a protective effect against benign colon neoplasm, highlighting the potential for miRNA-targeted therapies in medicine.
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MicroRNAs, crucial in regulating protein-coding gene expression, are implicated in various diseases. We performed a genome-wide association study of plasma miRNAs (ex-miRNAs) in 3,743 Framingham Heart Study (FHS) participants and identified 1,027 ex-miRNA-eQTLs (exQTLs) for 37 ex-miRNAs, with 55% replication in an independent study. Colocalization analyses suggested potential genetic coregulation of ex-miRNAs with whole blood mRNAs.

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With age, hematopoietic stem cells can acquire somatic mutations in leukemogenic genes that confer a proliferative advantage in a phenomenon termed "clonal hematopoiesis of indeterminate potential" (CHIP). How these mutations confer a proliferative advantage and result in increased risk for numerous age-related diseases remains poorly understood. We conducted a multiracial meta-analysis of epigenome-wide association studies (EWAS) of CHIP and its subtypes in four cohorts (N=8196) to elucidate the molecular mechanisms underlying CHIP and illuminate how these changes influence cardiovascular disease risk.

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Background: Extracellular microRNAs (miRNAs) are a class of noncoding RNAs that remain stable in the extracellular milieu, where they contribute to various physiological and pathological processes by facilitating intercellular signaling. Previous studies have reported associations between miRNAs and cardiovascular diseases (CVDs); however, the plasma miRNA signatures of CVD and its risk factors have not been fully elucidated at the population level.

Methods And Results: Plasma miRNA levels were measured in 4440 FHS (Framingham Heart Study) participants.

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Article Synopsis
  • Life's Essential 8 (LE8) is a metric designed to assess cardiovascular health, and researchers explored its connections to aging biomarkers and disease risks among 5,682 participants from the Framingham Heart Study.
  • A 1 standard deviation increase in the LE8 score was linked to significant reductions in the risk of cardiovascular disease (CVD), CVD-specific mortality, and overall mortality, with epigenetic age biomarkers playing an important mediating role.
  • The mediation effects were especially pronounced in individuals with a higher genetic risk for older epigenetic age, highlighting the interaction between LE8, genetics, and health outcomes.
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Machine learning methods have been used in identifying omics markers for a variety of phenotypes. We aimed to examine whether a supervised machine learning algorithm can improve identification of alcohol-associated transcriptomic markers. In this study, we analysed array-based, whole-blood derived expression data for 17 873 gene transcripts in 5508 Framingham Heart Study participants.

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Article Synopsis
  • - The study investigates how the DASH diet score influences systolic blood pressure (BP) in relation to genetic factors, analyzing data from over 127,000 participants from different population groups, primarily European.
  • - Researchers identified several genetic loci associated with interactions between an individual's genetics and their response to the DASH diet, particularly focusing on the variant rs117878928 at chromosomal location 15q25.1.
  • - Results suggest significant gene-DASH diet interactions affecting systolic BP, highlighting the need for further research in larger, more diverse populations to confirm these findings.
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Article Synopsis
  • The study investigated how genetic variations (genotype) interact with dietary habits (specifically the DASH diet score) to influence systolic blood pressure (SBP).
  • Researchers analyzed a massive dataset of genetic information from over 127,000 individuals to identify specific genetic locations (loci) that may play a role in this interaction.
  • They found significant genetic interactions with the DASH diet score, especially at a specific gene location (rs117878928), indicating that diet can affect blood pressure differently based on an individual's genetic makeup, which highlights the need for further research with more diverse populations.
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Background: Metabolite signatures of long-term alcohol consumption are lacking. To better understand the molecular basis linking alcohol drinking and cardiovascular disease (CVD), we investigated circulating metabolites associated with long-term alcohol consumption and examined whether these metabolites were associated with incident CVD.

Methods: Cumulative average alcohol consumption (g/day) was derived from the total consumption of beer, wine, and liquor on average of 19 years in 2428 Framingham Heart Study Offspring participants (mean age 56 years, 52% women).

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Background: Insulin resistance (IR) is a major risk factor for Alzheimer's disease (AD) dementia. The mechanisms by which IR predisposes to AD are not well-understood. Epigenetic studies may help identify molecular signatures of IR associated with AD, thus improving our understanding of the biological and regulatory mechanisms linking IR and AD.

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The alcohol-associated biological aging remains to be studied across adulthood. We conducted linear regression analyses to investigate the associations between alcohol consumption and two DNA methylation-based biological age acceleration metrics in 3823 Framingham Heart Study participants (24-92 years and 53.8% women) adjusting for covariates.

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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
  • This study explores how altered DNA methylation (DNAm) may link smoking to lung cancer, using data from the Strong Heart Study (SHS) involving 2,321 participants.
  • Researchers found specific differentially methylated positions (DMPs) in blood samples related to lung cancer incidence, with some showing consistent effects in validation from the Framingham Heart Study (FHS).
  • The analysis revealed that changes in DNAm at genes AHRR and IER3 could help explain the connection between smoking and lung cancer, prompting the need for further experimental studies to clarify the biological significance of these findings.
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Background: Metabolite signatures of long-term alcohol consumption are lacking. To better understand the molecular basis linking alcohol drinking and cardiovascular disease (CVD), we investigated circulating metabolites associated with long-term alcohol consumption and examined whether these metabolites were associated with incident CVD.

Methods: Cumulative average alcohol consumption (g/day) was derived from the total consumption of beer, wine and liquor on average of 19 years in 2,428 Framingham Heart Study Offspring participants (mean age 56 years, 52% women).

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Purpose: To evaluate associations between rare dysfunctional () genetic variant status and progression to advanced age-related macular degeneration (AAMD), geographic atrophy (GA), and neovascular disease (NV).

Design: Prospective, longitudinal study.

Participants: Patients aged 55 to 80 years at baseline identifying as White with non-AAMD in 1 or both eyes at baseline were included.

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Measurement of circulating immunoglobulin E (IgE) concentration is helpful for diagnosing and treating asthma and allergic diseases. Identifying gene expression signatures associated with IgE might elucidate novel pathways for IgE regulation. To this end, we performed a discovery transcriptome-wide association study to identify differentially expressed genes associated with circulating IgE levels in whole-blood derived RNA from 5,345 participants in the Framingham Heart Study across 17,873 mRNA gene-level transcripts.

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To identify differential methylation related to prescribed opioid use. This study examined whether blood DNA methylation, measured using Illumina arrays, differs by recent opioid medication use in four population-based cohorts. We meta-analyzed results (282 users; 10,560 nonusers) using inverse-variance weighting.

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Purpose: Assessing an individual's systemic inflammatory state is vital to understand inflammation's role in cardiometabolic diseases and identify those at the greatest risk of disease. We generated global inflammation scores and investigated their associations with cardiometabolic risk factors and adverse outcomes.

Patients And Methods: Aggregate Inflammation Scores (AIS) and Principal Component Analysis (PCA) scores were generated for 7287 Framingham Heart Study participants using up to 26 inflammation-related proteins, with higher scores reflecting a pro-inflammatory milieu.

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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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