Publications by authors named "Shih-Jen Hwang"

Background: Substantial efforts have been dedicated to exploring the link between genetic regulation and the proteome, informing studies of complex trait mechanisms. Most of these efforts have been limited to populations of European ancestry.

Results: We conduct an Olink protein quantitative trait locus (pQTL) analysis on 1245 proteins involving 1033 self-identified African American (AA) and 1764 non-Hispanic White (NHW) participants from the Women's Health Initiative and Framingham Heart Study.

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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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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. Significant protein signatures were annotated functionally and validated externally in 740 Framingham Heart Study (FHS) participants.

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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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Article Synopsis
  • * The research showed that individuals with high polygenic risk scores have significantly higher blood pressure (almost 17 mmHg more) and over seven times the risk of developing hypertension compared to those with low scores.
  • * Incorporating these genetic risk scores into hypertension prediction models improved their accuracy, and excitingly, similar genetic associations were found in a large African-American sample, underscoring the potential of these findings for precision health initiatives.
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Background And Hypothesis: It remains unclear whether the relation of chronic kidney disease (CKD) with cognitive dysfunction is independent of blood pressure (BP). We evaluated kidney function in relation to premorbid BP measurements, cerebral small vessel disease (CSVD), and incident mild cognitive impairment (MCI) and dementia in Framingham Offspring Cohort participants.

Methods: We included Framingham Offspring participants free of dementia, attending an examination during midlife (exam cycle 6, baseline) for ascertainment of kidney function status, with brain magnetic resonance imaging late in life (exam cycles 7-9), cognitive outcome data, and available interim hypertension and BP assessments.

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Background: The circulating proteome may encode early pathways of diabetes susceptibility in young adults for surveillance and intervention. Here, we define proteomic correlates of tissue phenotypes and diabetes in young adults.

Methods: We used penalized models and principal components analysis to generate parsimonious proteomic signatures of diabetes susceptibility based on phenotypes and on diabetes diagnosis across 184 proteins in >2000 young adults in the CARDIA (Coronary Artery Risk Development in Young Adults study; mean age, 32 years; 44% women; 43% Black; mean body mass index, 25.

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  • Current multivariable equations for assessing cardiovascular disease (CVD) risk have limitations, prompting the development of the AHA PREVENT equations aimed at adults aged 30 to 79 without known CVD.
  • The study analyzed data from over 6.6 million adults across 25 datasets, utilizing traditional risk factors and additional predictors like social deprivation, to create sex-specific models with strong predictive capabilities.
  • The external validation showed solid performance with median C-statistics of 0.794 for women and 0.757 for men, indicating good distinction between individuals at different risk levels for CVD.
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  • This study explores the relationship between exercise impairments and biomarkers in heart failure with preserved ejection fraction (HFpEF), focusing on exercise rather than just resting states.
  • A detailed analysis of 277 proteins was conducted on 151 individuals, identifying specific protein signatures linked to different exercise responses, which helps reveal underlying mechanisms of HFpEF.
  • The findings suggest that these protein signatures not only highlight potential new therapeutic targets but also offer methods for early risk assessment and prevention of HFpEF.
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  • * This study analyzes data from over 27 million individuals to assess the impact of low eGFR and severe albuminuria on health outcomes like kidney failure, mortality, and cardiovascular events.
  • * Results indicate differing health risks associated with the methods of estimating kidney function, revealing significant correlations between lower eGFR and adverse health outcomes over time.
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Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population.

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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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  • This study examines the relationship between resting heart rate and cardiovascular diseases, identifying 493 genetic variants linked to this trait through a large-scale analysis of 835,465 individuals.
  • It highlights the significance of higher genetically predicted resting heart rates, which are associated with an increased risk of dilated cardiomyopathy but lower risk for conditions like atrial fibrillation and ischemic strokes.
  • The study also challenges previous findings on resting heart rate and all-cause mortality, suggesting earlier results may have been influenced by biases, ultimately enhancing our understanding of the biological implications of resting heart rate in cardiovascular health.
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  • The study evaluates the effectiveness and shortcomings of polygenic risk scores (PRSs) in predicting various blood pressure (BP) phenotypes among different population groups, focusing on methods like "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2).
  • It utilizes datasets from several biobanks, including MGB Biobank and UK Biobank, to train and validate PRSs based on self-reported race/ethnic backgrounds such as Asian, Black, Hispanic/Latino, and White.
  • Findings indicate that the PRS-CSx method, which combines weighted PRSs from multiple GWAS, provides the most accurate predictions across all racial/ethnic groups, with better effectiveness in females
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Rheumatoid arthritis (RA) is a risk factor for atherosclerotic cardiovascular diseases (CVD). Given the critical roles of the immune system and inflammatory signals in the pathogenesis of CVD, we hypothesized that interrogation of CVD-related proteins using integrative genomics might provide new insights into the pathophysiology of RA. We utilized two-sample Mendelian randomization (MR) for causal inference between circulating protein levels and RA by incorporating genetic variants, followed by colocalization to characterize the causal associations.

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Background: We sought to identify protein biomarkers of new-onset heart failure (HF) in 3 independent cohorts (HOMAGE cohort [Heart Omics and Ageing], ARIC study [Atherosclerosis Risk in Communities], and FHS [Framingham Heart Study]) and assess if and to what extent they improve HF risk prediction compared to clinical risk factors alone.

Methods: A nested case-control design was used with cases (incident HF) and controls (without HF) matched on age and sex within each cohort. Plasma concentrations of 276 proteins were measured at baseline in ARIC (250 cases/250 controls), FHS (191/191), and HOMAGE cohort (562/871).

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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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Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS.

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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
  • Tobacco and alcohol use contribute significantly to global mortality rates, with heritability playing a key role in these behaviors.
  • This study utilized genetic data from a diverse population of 3.4 million individuals, including 21% non-European ancestry, to identify genetic variants linked to tobacco and alcohol use.
  • Findings showed that while increased genetic diversity improved the identification of genomic loci, polygenic risk scores were less effective across different ancestries, underscoring the need for larger and more diverse genetic datasets for better predictive outcomes.
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  • * The study involved two stages with over 15,000 participants from diverse backgrounds and used advanced statistical models to analyze genetic variants in relation to DKD.
  • * Researchers discovered four significant genetic loci linked to DKD, particularly noting a rare variant in the DIS3L2 gene that greatly increases the risk of developing the disease, providing new insights into DKD's molecular mechanisms.
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  • 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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  • - 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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Objective: Weight regain occurs after medical weight loss via mechanisms of post-weight-loss "metabolic adaptation." The relationship of inflammatory proteins with weight loss/regain was studied to determine a role for inflammation in metabolic adaptation.

Methods: Seventy-four proteins central to inflammation and immune regulation (Olink) were analyzed in plasma from up to 490 participants in a trial of medical weight-loss maintenance.

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