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Dive into the research topics where M. Benjamin Shoemaker is active.

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Featured researches published by M. Benjamin Shoemaker.


JAMA | 2016

Association of Arrhythmia-Related Genetic Variants With Phenotypes Documented in Electronic Medical Records.

Sara L. Van Driest; Quinn S. Wells; Sarah Stallings; William S. Bush; Adam S. Gordon; Deborah A. Nickerson; Jerry H. Kim; David R. Crosslin; Gail P. Jarvik; David Carrell; James D. Ralston; Eric B. Larson; Suzette J. Bielinski; Janet E. Olson; Zi Ye; Iftikhar J. Kullo; Noura S. Abul-Husn; Stuart A. Scott; Erwin P. Bottinger; Berta Almoguera; John J. Connolly; Rosetta M. Chiavacci; Hakon Hakonarson; Laura J. Rasmussen-Torvik; Vivian Pan; Stephen D. Persell; Maureen E. Smith; Rex L. Chisholm; Terrie Kitchner; Max M. He

IMPORTANCE Large-scale DNA sequencing identifies incidental rare variants in established Mendelian disease genes, but the frequency of related clinical phenotypes in unselected patient populations is not well established. Phenotype data from electronic medical records (EMRs) may provide a resource to assess the clinical relevance of rare variants. OBJECTIVE To determine the clinical phenotypes from EMRs for individuals with variants designated as pathogenic by expert review in arrhythmia susceptibility genes. DESIGN, SETTING, AND PARTICIPANTS This prospective cohort study included 2022 individuals recruited for nonantiarrhythmic drug exposure phenotypes from October 5, 2012, to September 30, 2013, for the Electronic Medical Records and Genomics Network Pharmacogenomics project from 7 US academic medical centers. Variants in SCN5A and KCNH2, disease genes for long QT and Brugada syndromes, were assessed for potential pathogenicity by 3 laboratories with ion channel expertise and by comparison with the ClinVar database. Relevant phenotypes were determined from EMRs, with data available from 2002 (or earlier for some sites) through September 10, 2014. EXPOSURES One or more variants designated as pathogenic in SCN5A or KCNH2. MAIN OUTCOMES AND MEASURES Arrhythmia or electrocardiographic (ECG) phenotypes defined by International Classification of Diseases, Ninth Revision (ICD-9) codes, ECG data, and manual EMR review. RESULTS Among 2022 study participants (median age, 61 years [interquartile range, 56-65 years]; 1118 [55%] female; 1491 [74%] white), a total of 122 rare (minor allele frequency <0.5%) nonsynonymous and splice-site variants in 2 arrhythmia susceptibility genes were identified in 223 individuals (11% of the study cohort). Forty-two variants in 63 participants were designated potentially pathogenic by at least 1 laboratory or ClinVar, with low concordance across laboratories (Cohen κ = 0.26). An ICD-9 code for arrhythmia was found in 11 of 63 (17%) variant carriers vs 264 of 1959 (13%) of those without variants (difference, +4%; 95% CI, -5% to +13%; P = .35). In the 1270 (63%) with ECGs, corrected QT intervals were not different in variant carriers vs those without (median, 429 vs 439 milliseconds; difference, -10 milliseconds; 95% CI, -16 to +3 milliseconds; P = .17). After manual review, 22 of 63 participants (35%) with designated variants had any ECG or arrhythmia phenotype, and only 2 had corrected QT interval longer than 500 milliseconds. CONCLUSIONS AND RELEVANCE Among laboratories experienced in genetic testing for cardiac arrhythmia disorders, there was low concordance in designating SCN5A and KCNH2 variants as pathogenic. In an unselected population, the putatively pathogenic genetic variants were not associated with an abnormal phenotype. These findings raise questions about the implications of notifying patients of incidental genetic findings.


Heart Rhythm | 2013

Common genetic polymorphism at 4q25 locus predicts atrial fibrillation recurrence after successful cardioversion

Babar Parvez; M. Benjamin Shoemaker; Raafia Muhammad; Rachael Richardson; Lan Jiang; Marcia Blair; Dan M. Roden; Dawood Darbar

BACKGROUND Genome-wide association studies have identified numerous common polymorphisms associated with atrial fibrillation (AF). The 3 loci most strongly associated with AF occur at chromosome 4q25 (near PITX2), 16q22 (in ZFHX3), and 1q21 (in KCNN3). OBJECTIVE To evaluate whether timing of AF recurrence after direct current cardioversion (DCCV) is modulated by common AF susceptibility alleles. METHODS A total of 208 patients (age 65 ± 11 years; 77% men) with persistent AF underwent successful DCCV and were prospectively evaluated at 3, 6, and 12 months for AF recurrence. Four single nucleotide polymorphisms--rs2200733 and rs10033464 at 4q25, rs7193343 in ZFHX3, and rs13376333 in KCNN3--were genotyped. RESULTS The final study cohort consisted of 184 patients. In 162 (88%) patients, sinus rhythm was restored with DCCV, of which 108 (67%) had AF recurrence at a median of 60 (interquartile range 29-176) days. In multivariable analysis, the presence of any common single nucleotide polymorphism (rs2200733, rs10033464) at the 4q25 locus was an independent predictor of AF recurrence (hazard ratio 2.1; 95% confidence interval 1.21-3.30; P = .008). Furthermore, rs2200733 exhibited a graded allelic dose response for early AF recurrence (homozygous variants: 7 [interquartile range 4-56] days; heterozygous variants: 54 [28-135] days; and wild type: 64 [29-180] days; P = .03). CONCLUSIONS To our knowledge, this is the first study to evaluate whether genomic markers can predict timing of AF recurrence in patients undergoing elective DCCV. Our findings show that a common polymorphism on chromosome 4q25 (rs2200733) is an independent predictor of AF recurrence after DCCV and point to a potential role of stratification by genotype.


Heart Rhythm | 2013

Common atrial fibrillation risk alleles at 4q25 predict recurrence after catheter-based atrial fibrillation ablation

M. Benjamin Shoemaker; Raafia Muhammad; Babar Parvez; Brenda W. White; Megan Streur; Yanna Song; Tanya Stubblefield; Gayle Kucera; Marcia Blair; Jason Rytlewski; Sunthosh Parvathaneni; Rangadham Nagarakanti; Pablo Saavedra; Christopher R. Ellis; S. Patrick Whalen; Dan M. Roden; R Dawood Darbar

BACKGROUND Common single nucleotide polymorphisms at chromosome 4q25 (rs2200733, rs10033464) are associated with both lone and typical atrial fibrillation (AF). Risk alleles at 4q25 have recently been shown to predict recurrence of AF after ablation in a population of predominately lone AF, but lone AF represents only 5%-30% of AF cases. OBJECTIVE To test the hypothesis that 4q25 AF risk alleles can predict response to AF ablation in the majority of AF cases. METHODS Patients enrolled in the Vanderbilt AF Registry underwent 378 catheter-based AF ablations (median age 60 years; 71% men; 89% typical AF) between 2004 and 2011. The primary end point was time to recurrence of any nonsinus atrial tachyarrhythmia (atrial tachycardia, atrial flutter, or AF). RESULTS Two-hundred atrial tachycardia, atrial flutter, or AF recurrences (53%) were observed. In multivariable analysis, the rs2200733 risk allele predicted a 24% shorter recurrence-free time (survival time ratio 0.76; 95% confidence interval [CI] 0.6-0.95; P = .016) compared with wild type. The heterozygous haplotype demonstrated a 21% shorter recurrence-free time (survival time ratio 0.79; 95% CI 0.62-0.99) and the homozygous risk allele carriers a 39% shorter recurrence-free time (survival time ratio 0.61; 95% CI 0.37-1.0; P = .037). CONCLUSIONS Risk alleles at the 4q25 loci predict impaired clinical response to AF ablation in a population of patients with predominately typical AF. Our findings suggest that the rs2200733 polymorphism may hold promise as an objectively measured patient characteristic that can be used as a clinical tool for selecting patients for AF ablation.


Circulation-arrhythmia and Electrophysiology | 2015

Common Genetic Variants and Response to Atrial Fibrillation Ablation

M. Benjamin Shoemaker; Andreas Bollmann; Steven A. Lubitz; Laura Ueberham; Harsimran Saini; Jay A. Montgomery; Todd L. Edwards; Zachary Yoneda; Moritz F. Sinner; Arash Arya; Philipp Sommer; Jessica T. Delaney; Sandeep K. Goyal; Pablo Saavedra; Arvindh Kanagasundram; S. Patrick Whalen; Dan M. Roden; Gerhard Hindricks; Christopher R. Ellis; Patrick T. Ellinor; Dawood Darbar; Daniela Husser

Background—Common single nucleotide polymorphisms (SNPs) at chromosomes 4q25 (rs2200733, rs10033464 near PITX2), 1q21 (rs13376333 in KCNN3), and 16q22 (rs7193343 in ZFHX3) have consistently been associated with the risk of atrial fibrillation (AF). Single-center studies have shown that 4q25 risk alleles predict recurrence of AF after catheter ablation of AF. Here, we performed a meta-analysis to test the hypothesis that these 4 AF susceptibility SNPs modulate response to AF ablation. Methods and Results—Patients underwent de novo AF ablation between 2008 and 2012 at Vanderbilt University, the Heart Center Leipzig, and Massachusetts General Hospital. The primary outcome was 12-month recurrence, defined as an episode of AF, atrial flutter, or atrial tachycardia lasting >30 seconds after a 3-month blanking period. Multivariable analysis of the individual cohorts using a Cox proportional hazards model was performed. Summary statistics from the 3 centers were analyzed using fixed effects meta-analysis. A total of 991 patients were included (Vanderbilt University, 245; Heart Center Leipzig, 659; and Massachusetts General Hospital, 87). The overall single procedure 12-month recurrence rate was 42%. The overall risk allele frequency for these SNPs ranged from 12% to 35%. Using a dominant genetic model, the 4q25 SNP, rs2200733, predicted a 1.4-fold increased risk of recurrence (adjusted hazard ratio,1.3 [95% confidence intervals, 1.1–1.6]; P=0.011). The remaining SNPs, rs10033464 (4q25), rs13376333 (1q21), and rs7193343 (16q22) were not significantly associated with recurrence. Conclusions—Among the 3 genetic loci most strongly associated with AF, the chromosome 4q25 SNP rs2200733 is significantly associated with recurrence of atrial arrhythmias after catheter ablation for AF.


American Journal of Cardiology | 2013

Relation of morbid obesity and female gender to risk of procedural complications in patients undergoing atrial fibrillation ablation.

M. Benjamin Shoemaker; Raafia Muhammad; Maureen Farrell; Babar Parvez; Brenda W. White; Megan Streur; Tanya Stubblefield; Jason Rytlewski; Sunthosh Parvathaneni; Rangadham Nagarakanti; Dan M. Roden; Pablo Saavedra; Christopher R. Ellis; S. Patrick Whalen; Dawood Darbar

Obese patients with atrial fibrillation (AF) are frequently treated with AF ablation. We sought to examine whether a body mass index (BMI) threshold exists beyond which the odds of experiencing a complication from AF ablation increases. All patients enrolled in the Vanderbilt AF Registry who underwent catheter-based AF ablation from May 1999 to February 2012 were included. Major complications were recorded. Morbid obesity was defined as a BMI >40 kg/m(2) and examined in multivariable analysis. A total of 35 complications (6.8%) occurred in 512 ablations. Morbidly obese patients experienced a greater rate of complications (6 of 42, 14.3%) than the nonmorbidly obese (29 of 470, 6.2%; p = 0.046). Using a discrete BMI cutoff, the odds of complications increased 3.1-fold in those with morbid obesity (odds ratio [OR] 3.1, 95% confidence interval [CI] 1.1 to 8.4, p = 0.03) and 2.1-fold for female gender (OR 2.1, 95% CI 1.04 to 4.38, p = 0.04). With BMI as a continuous variable, the odds of complications increased by 5% per 1 unit increase in BMI (OR 1.05, 95% CI 1.0 to 1.11, p = 0.05), and the increase for female gender was 2.2-fold (OR 2.2, 95% CI 1.1 to 4.6, p = 0.03). In conclusion, morbid obesity represents a BMI threshold above which the odds of complications with AF ablation increase significantly. The increase in complications appears to be driven primarily by events in women, suggesting that morbidly obese women are a special population when considering AF ablation.


Disease Models & Mechanisms | 2013

Functional modeling in zebrafish demonstrates that the atrial-fibrillation-associated gene GREM2 regulates cardiac laterality, cardiomyocyte differentiation and atrial rhythm

Iris I. Müller; David B. Melville; Vineeta Tanwar; Witold M. Rybski; Amrita Mukherjee; M. Benjamin Shoemaker; Wan-Der Wang; John A. Schoenhard; Dan M. Roden; Dawood Darbar; Ela W. Knapik; Antonis K. Hatzopoulos

SUMMARY Atrial fibrillation (AF) is the most common cardiac arrhythmia and carries a significant risk of stroke and heart failure. The molecular etiologies of AF are poorly understood, leaving patients with limited therapeutic options. AF has been recognized as an inherited disease in almost 30% of patient cases. However, few genetic loci have been identified and the mechanisms linking genetic variants to AF susceptibility remain unclear. By sequencing 193 probands with lone AF, we identified a Q76E variant within the coding sequence of the bone morphogenetic protein (BMP) antagonist gremlin-2 (GREM2) that increases its inhibitory activity. Functional modeling in zebrafish revealed that, through regulation of BMP signaling, GREM2 is required for cardiac laterality and atrial differentiation during embryonic development. GREM2 overactivity results in slower cardiac contraction rates in zebrafish, and induction of previously identified AF candidate genes encoding connexin-40, sarcolipin and atrial natriuretic peptide in differentiated mouse embryonic stem cells. By live heart imaging in zebrafish overexpressing wild-type or variant GREM2, we found abnormal contraction velocity specifically in atrial cardiomyocytes. These results implicate, for the first time, regulators of BMP signaling in human AF, providing mechanistic insights into the pathogenesis of the disease and identifying potential new therapeutic targets.


Journal of the American College of Cardiology | 2011

Left Atrial Hypertension After Repeated Catheter Ablations for Atrial Fibrillation

M. Benjamin Shoemaker; Anna R. Hemnes; Ivan M. Robbins; Jonathan J. Langberg; Christopher R. Ellis; Sam G. Aznaurov; Joseph L. Fredi; David Slosky; Dan M. Roden; Katherine T. Murray; Robert N. Piana; Lisa A. Mendes; S. Patrick Whalen

To the Editor: Catheter ablation is an important treatment for recurrent, symptomatic atrial fibrillation (AF). The original procedure targeted focal triggers of AF arising from within the pulmonary veins (PVs). This technique generated minimal left atrial (LA) scar but was complicated by the


Circulation-arrhythmia and Electrophysiology | 2015

Genetic and Clinical Risk Prediction Model for Postoperative Atrial Fibrillation

Matthew J. Kolek; J. Daniel Muehlschlegel; William S. Bush; Babar Parvez; Katherine T. Murray; C. Michael Stein; M. Benjamin Shoemaker; Marcia Blair; Kaylen Kor; Dan M. Roden; Brian S. Donahue; Amanda A. Fox; Stanton K. Shernan; Charles D. Collard; Simon C. Body; Dawood Darbar

Background—Postoperative atrial fibrillation (PoAF) is common after coronary artery bypass grafting. We previously showed that atrial fibrillation susceptibility single nucleotide polymorphisms (SNPs) at the chromosome 4q25 locus are associated with PoAF. Here, we tested the hypothesis that a combined clinical and genetic model incorporating atrial fibrillation risk SNPs would be superior to a clinical-only model. Methods and Results—We developed and externally validated clinical and clinical/genetic risk models for PoAF. The discovery and validation cohorts included 556 and 1164 patients, respectively. Clinical variables previously associated with PoAF and 13 SNPs at loci associated with atrial fibrillation in genome-wide association studies were considered. PoAF occurred in 30% and 29% of patients in the discovery and validation cohorts, respectively. In the discovery cohort, a logistic regression model with clinical factors had good discrimination, with an area under the receiver operator characteristic curve of 0.76. The addition of 10 SNPs to the clinical model did not improve discrimination (area under receiver operator characteristic curve, 0.78; P=0.14 for difference between the 2 models). In the validation cohort, the clinical model had good discrimination (area under the receiver operator characteristic curve, 0.69) and addition of genetic variables resulted in a marginal improvement in discrimination (area under receiver operator characteristic curve, 0.72; P<0.0001). Conclusions—We developed and validated a model for the prediction of PoAF containing common clinical variables. Addition of atrial fibrillation susceptibility SNPs did not improve model performance. Tools to accurately predict PoAF are needed to risk stratify patients undergoing coronary artery bypass grafting and identify candidates for prophylactic therapies.


Journal of Cardiovascular Electrophysiology | 2014

Comparative Outcomes of Transvenous Extraction of Sprint Fidelis and Riata Defibrillator Leads: A Single Center Experience

Travis Richardson; Matthew J. Kolek; Sandeep K. Goyal; M. Benjamin Shoemaker; Alana A. Lewis; Jeffrey N. Rottman; S. Patrick Whalen; Christopher R. Ellis

The FDA has issued class I advisories for Medtronic Sprint Fidelis® and St. Jude Medical RiataTM ICD lead families. Transvenous RiataTM ICD lead extraction is typically considered higher risk than Fidelis® extraction, based on longer duration from implant, presence of externalized conductors and lack of silicone backfill in the SVC and RV coils. However, published data comparing procedural outcomes between these leads are limited.


Journal of Cardiovascular Electrophysiology | 2016

Staged versus Simultaneous Thoracoscopic Hybrid Ablation for Persistent Atrial Fibrillation Does Not Affect Time to Recurrence of Atrial Arrhythmia.

Travis D. Richardson; M. Benjamin Shoemaker; S. Patrick Whalen; Steven J. Hoff; Christopher R. Ellis

Totally thoracoscopic (TT) epicardial ablation combined with endocardial catheter ablation is an emerging treatment for persistent AF. The effects of timing of the TT and endocardial portion on AT/AF recurrence are not known.

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Dan M. Roden

Vanderbilt University Medical Center

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Christopher R. Ellis

Vanderbilt University Medical Center

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S. Patrick Whalen

Vanderbilt University Medical Center

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Jay A. Montgomery

Vanderbilt University Medical Center

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Raafia Muhammad

Vanderbilt University Medical Center

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Arvindh Kanagasundram

Vanderbilt University Medical Center

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