Publications by authors named "Dan Roden"

Objective: To evaluate the effectiveness of multiple decision aid strategies in promoting high quality shared decision making for prevention of stroke in patients with non-valvular atrial fibrillation.

Design: Cluster randomized controlled trial.

Setting: Six academic medical centers in the United States.

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To broaden our understanding of bradyarrhythmias and conduction disease, we performed common variant genome-wide association analyses in up to 1.3 million individuals and rare variant burden testing in 460,000 individuals for sinus node dysfunction (SND), distal conduction disease (DCD) and pacemaker (PM) implantation. We identified 13, 31 and 21 common variant loci for SND, DCD and PM, respectively.

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Rationale: Induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) are an emerging model for determining drug effects and modeling disease. Specialized devices can generate Extracellular Field Potential (EFP) measurements from these cells, analogous to the ventricular complex of the electrocardiogram.

Objective: The objective of this study was to develop an easy-to-use, easy-to-teach, reproducible software tool to measure EFPs.

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Article Synopsis
  • TTN encodes the protein titin and is commonly associated with rare variants in patients diagnosed with atrial fibrillation (AF) during genetic testing.
  • The study compared characteristics and outcomes of patients with AF having pathogenic TTN variants to those without such variants, revealing that TTN(+) patients experience more persistent AF and require more cardioversions.
  • Findings indicate that nearly 50% of TTN(+) AF patients develop serious heart issues, emphasizing the importance of specialized evaluation and management for these individuals.
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Precision medicine, which among other aspects includes an individual's genomic data in diagnosis and management, has become the standard-of-care for Mendelian cardiovascular disease (CVD). However, early identification and management of asymptomatic patients with potentially lethal and manageable Mendelian CVD through screening, which is the promise of precision health, remains an unsolved challenge. The reduced costs of genomic sequencing have enabled the creation of biobanks containing in-depth genetic and health information, which have facilitated the understanding of genetic variation, penetrance, and expressivity, moving us closer to the genotype-first screening of asymptomatic individuals for Mendelian CVD.

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Interpreting the clinical significance of putative splice-altering variants outside canonical splice sites remains difficult without time-intensive experimental studies. To address this, we introduce Parallel Splice Effect Sequencing (ParSE-seq), a multiplexed assay to quantify variant effects on RNA splicing. We first apply this technique to study hundreds of variants in the arrhythmia-associated gene SCN5A.

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Background: Long QT syndrome is a lethal arrhythmia syndrome, frequently caused by rare loss-of-function variants in the potassium channel encoded by . Variant classification is difficult, often because of lack of functional data. Moreover, variant-based risk stratification is also complicated by heterogenous clinical data and incomplete penetrance.

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Article Synopsis
  • * A study involving 1,366 participants found that while having a pathogenic variant in any CM or arrhythmia gene wasn't significantly linked to AF recurrence, variants in the ALVC gene group (especially LMNA) were associated with a higher risk.
  • * Overall, AF ablation appears beneficial for most patients with these variants, but those with ALVC variants may face a greater chance of experiencing recurrence of arrhythmias.
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  • Rare genetic diseases like Type 5 Long QT Syndrome (LQT5) are often underdiagnosed due to limited studies in referral populations, leading to skewed insights into these conditions.
  • A new method was developed to identify undiagnosed LQT5 carriers in a broader population, leading to the discovery of 22 additional individuals sharing a specific genetic variant linked to LQT5.
  • The analysis revealed that both referred and non-referred carriers have a prolonged QT interval, and a specific polygenic score can predict QT prolongation among those with the variant, enhancing the understanding of LQT5's impact.
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  • The All of Us Research Program wants to create a huge and diverse database for medical research that scientists can easily use through a special platform called the Researcher Workbench (RW).
  • Researchers with different levels of experience helped design a new tool called SAS by sharing their ideas and testing it out.
  • The feedback from these researchers was super helpful in making the SAS tool better, which means more people can use the All of Us data easily and effectively in their studies.
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  • PheMIME is an interactive visualization tool developed to analyze and characterize multimorbidity patterns across different populations using data from large-scale electronic health record (EHR) systems.
  • It integrates data from institutions like Vanderbilt University and Mass General Brigham, allowing users to explore complex disease relationships through dynamic, multi-faceted visualizations and analyses.
  • The tool enhances our understanding of patient health by making it easier to identify disease associations, ultimately contributing to more personalized healthcare strategies.
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Article Synopsis
  • * The 2023 ACC/AHA guidelines recommend genetic testing for AF patients aged 45 or younger to enhance personalized care and prognosis by identifying specific genetic defects.
  • * Challenges in genetic testing for AF include interpreting uncertain results, financial and insurance barriers, and the need for improved training and standardization in testing procedures.
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Background: Brugada syndrome is an inheritable arrhythmia condition that is associated with rare, loss-of-function variants in . Interpreting the pathogenicity of missense variants is challenging, and ≈79% of missense variants in ClinVar are currently classified as variants of uncertain significance. Automated patch clamp technology enables high-throughput functional studies of ion channel variants and can provide evidence for variant reclassification.

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Background: Computational variant effect predictors offer a scalable and increasingly reliable means of interpreting human genetic variation, but concerns of circularity and bias have limited previous methods for evaluating and comparing predictors. Population-level cohorts of genotyped and phenotyped participants that have not been used in predictor training can facilitate an unbiased benchmarking of available methods. Using a curated set of human gene-trait associations with a reported rare-variant burden association, we evaluate the correlations of 24 computational variant effect predictors with associated human traits in the UK Biobank and All of Us cohorts.

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Background: Clonal hematopoiesis of indeterminate potential (CHIP) occurs due to acquired mutations in bone marrow progenitor cells. CHIP confers a 2-fold risk of atherosclerotic cardiovascular disease. However, there are limited data regarding specific cardiovascular phenotypes.

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There is significant variability in the efficacy and safety of oral P2Y12 inhibitors, which are used to prevent ischemic outcomes in common diseases such as coronary and peripheral arterial disease and stroke. Clopidogrel, a prodrug, is the most used oral P2Y12 inhibitor and is activated primarily after being metabolized by a highly polymorphic hepatic cytochrome CYP2C219 enzyme. Loss-of-function genetic variants in are common, can result in decreased active metabolite levels and increased on-treatment platelet aggregation, and are associated with increased ischemic events on clopidogrel therapy.

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Clonal hematopoiesis of indeterminate potential (CHIP), whereby somatic mutations in hematopoietic stem cells confer a selective advantage and drive clonal expansion, not only correlates with age but also confers increased risk of morbidity and mortality. Here, we leverage genetically predicted traits to identify factors that determine CHIP clonal expansion rate. We used the passenger-approximated clonal expansion rate method to quantify the clonal expansion rate for 4,370 individuals in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) cohort and calculated polygenic risk scores for DNA methylation aging, inflammation-related measures and circulating protein levels.

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Background: KCNE1 encodes a 129-residue cardiac potassium channel (I) subunit. KCNE1 variants are associated with long QT syndrome and atrial fibrillation. However, most variants have insufficient evidence of clinical consequences and thus limited clinical utility.

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Article Synopsis
  • The study investigates the genetic basis of supraventricular tachycardias, focusing on atrioventricular nodal reentrant tachycardia (AVNRT) and atrioventricular accessory pathways/reciprocating tachycardia (AVAP/AVRT).
  • Through multiancestry meta-analyses of genome-wide association studies, researchers identified significant genetic loci associated with AVNRT and AVAP/AVRT, implicating specific genes in these cardiac conditions.
  • The results suggest that gene regions related to ion channels and cardiac development play crucial roles in susceptibility to supraventricular tachycardias, potentially influencing other cardiovascular issues such as atrial fibrillation
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  • Genome-wide association studies (GWAS) have successfully identified genes linked to telomere length, but previous research hadn't validated these findings until now.
  • In a large analysis involving over 211,000 people, the study discovered five new signals linked to telomere length and highlighted the importance of blood/immune cells in this area.
  • The researchers confirmed that the genes KBTBD6 and POP5 truly affect telomere length by demonstrating that manipulating these genes can lengthen telomeres and that their regulation is crucial for understanding telomere biology.
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Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well understood.

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Article Synopsis
  • - PheWAS (Phenome-wide association studies) analyze the link between genetic factors and various diseases using data from DNA biobanks and electronic medical records, typically applying Phecodes as outcome measures and logistic regression for analysis.
  • - Due to inaccuracies in clinical diagnoses within electronic medical records, creating accurate lists of cases and controls becomes challenging, leading to biased odds ratio estimates and requiring a costly curation process.
  • - The proposed solution is to estimate relative risks (RR) instead, which is shown to be unbiased without needing exclusion criteria lists, allowing for more efficient and larger-scale analyses using structured phenotypic information from ICD codes rather than Phecodes.
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  • A study examined how genetic predispositions to lower white blood cell (WBC) counts affect health outcomes in over 89,000 biobank participants, focusing on variations not linked to diseases.
  • Results showed that individuals with a genetic tendency for lower WBC counts had a reduced likelihood of finding abnormal pathology in bone marrow biopsies but were more prone to leukopenia during chemotherapy and immunosuppressant treatments.
  • The findings indicate that some people might experience unnecessary changes in their medical treatment due to their genetic profile, suggesting the need for personalized care approaches.
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