Susan R. Heckbert
Group Health Research Institute
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Featured researches published by Susan R. Heckbert.
Human Molecular Genetics | 2010
Mark Eijgelsheim; Christopher Newton-Cheh; Nona Sotoodehnia; Paul I. W. de Bakker; Martina Müller; Alanna C. Morrison; Albert V. Smith; Aaron Isaacs; Serena Sanna; Marcus Dörr; Pau Navarro; Christian Fuchsberger; Ilja M. Nolte; Eco J. C. de Geus; Karol Estrada; Shih-Jen Hwang; Joshua C. Bis; Ina-Maria Rückert; Alvaro Alonso; Lenore J. Launer; Jouke-Jan Hottenga; Fernando Rivadeneira; Peter A. Noseworthy; Kenneth Rice; Siegfried Perz; Dan E. Arking; Tim D. Spector; Jan A. Kors; Yurii S. Aulchenko; Kirill V. Tarasov
Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel factors that influence pathologic heart rate states, modulate heart rate through cardiac structure and function or by improving our understanding of the physiology of heart rate regulation. To identify common genetic variants associated with heart rate, we performed a meta-analysis of 15 genome-wide association studies (GWAS), including 38,991 subjects of European ancestry, estimating the association between age-, sex- and body mass-adjusted RR interval (inverse heart rate) and approximately 2.5 million markers. Results with P < 5 × 10(-8) were considered genome-wide significant. We constructed regression models with multiple markers to assess whether results at less stringent thresholds were likely to be truly associated with RR interval. We identified six novel associations with resting heart rate at six loci: 6q22 near GJA1; 14q12 near MYH7; 12p12 near SOX5, c12orf67, BCAT1, LRMP and CASC1; 6q22 near SLC35F1, PLN and c6orf204; 7q22 near SLC12A9 and UfSp1; and 11q12 near FADS1. Associations at 6q22 400 kb away from GJA1, at 14q12 MYH6 and at 1q32 near CD34 identified in previously published GWAS were confirmed. In aggregate, these variants explain approximately 0.7% of RR interval variance. A multivariant regression model including 20 variants with P < 10(-5) increased the explained variance to 1.6%, suggesting that some loci falling short of genome-wide significance are likely truly associated. Future research is warranted to elucidate underlying mechanisms that may impact clinical care.
Journal of the American Heart Association | 2014
Wesley T. O'Neal; Jimmy T. Efird; Saman Nazarian; Alvaro Alonso; Susan R. Heckbert; Elsayed Z. Soliman
Background Peripheral arterial disease (PAD) shares several risk factors with atrial fibrillation (AF), and persons with PAD have an increased risk of stroke. It is unclear if PAD is associated with an increased risk for AF and whether this potential association explains the increased risk of stroke observed in those with PAD. Methods and Results We examined the association between PAD, measured by ankle‐brachial index (ABI), and incident AF and incident stroke, separately, in 6568 participants (mean age 62±10 years, 53% women, 62% nonwhite) from the Multi‐Ethnic Study of Atherosclerosis (MESA). ABI values <1.0 or >1.4 defined PAD. AF was ascertained through review of hospital discharge records and from Medicare claims data until December 31, 2010. An independent adjudication committee ascertained stroke events. Cox regression was used to estimate hazard ratios and 95% CIs for the association between PAD and AF and stroke. Over a median follow‐up of 8.5 years, 301 (4.6%) participants developed AF and 140 (2.1%) developed stroke. In a model adjusted for sociodemographics, cardiovascular risk factors, and potential confounders, PAD was associated with an increased risk of AF (hazard ratio 1.5, 95% CI 1.1 to 2.0). In a similar model, PAD was associated with incident stroke (hazard ratio 1.7, 95% CI 1.1 to 2.5), and the magnitude of risk was not different after inclusion of AF as a time‐dependent covariate (hazard ratio 1.7, 95% CI 1.1 to 2.5). Conclusions PAD is associated with an increased risk of AF and stroke in MESA. Potentially, the relationship between PAD and stroke is not mediated by AF.
Circulation-cardiovascular Genetics | 2014
Nicole Lüneburg; Wolfgang Lieb; Tanja Zeller; Ming-Huei Chen; Renke Maas; Angela M. Carter; Vanessa Xanthakis; Nicole L. Glazer; Edzard Schwedhelm; Sudha Seshadri; Mohammad Arfan Ikram; William T. Longstreth; Myriam Fornage; Inke R. König; Christina Loley; Francisco Ojeda; Arne Schillert; Thomas J. Wang; Heinrich Sticht; Anja Kittel; Jörg König; Emelia J. Benjamin; Lisa M. Sullivan; Isabel Bernges; Maike Anderssohn; Andreas Ziegler; Christian Gieger; Thomas Illig; Christa Meisinger; H.-Erich Wichmann
Background—Dimethylarginines (DMA) interfere with nitric oxide formation by inhibiting nitric oxide synthase (asymmetrical DMA [ADMA]) and L-arginine uptake into the cell (ADMA and symmetrical DMA [SDMA]). In prospective clinical studies, ADMA has been characterized as a cardiovascular risk marker, whereas SDMA is a novel marker for renal function and associated with all-cause mortality after ischemic stroke. The aim of the current study was to characterize the environmental and genetic contributions to interindividual variability of these biomarkers. Methods and Results—This study comprised a genome-wide association analysis of 3 well-characterized population-based cohorts (Framingham Heart Study [FHS; n=2992], Gutenberg Health Study [GHS; n=4354], and Multinational Monitoring of Trends and Determinants in Cardiovascular Disease Study [MONICA]/Cooperative Health Research in the Augsburg Area, Augsburg, Bavaria, Germany [KORA] F3 [n=581]) and identified replicated loci (DDAH1, MED23, Arg1, and AGXT2) associated with the interindividual variability in ADMA, L-arginine, and SDMA. Experimental in silico and in vitro studies confirmed functional significance of the identified AGXT2 variants. Clinical outcome analysis in 384 patients of the Leeds stroke study demonstrated an association between increased plasma levels of SDMA, AGXT2 variants, and various cardiometabolic risk factors. AGXT2 variants were not associated with poststroke survival in the Leeds study or were they associated with incident stroke in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. Conclusions—These genome-wide association study support the importance of DDAH1 and MED23/Arg1 in regulating ADMA and L-arginine metabolism, respectively, and identify a novel regulatory renal pathway for SDMA by AGXT2. AGXT2 variants might explain part of the pathogenic link between SDMA, renal function, and outcome. An association between AGXT2 variants and stroke is unclear and warrants further investigation.
American Journal of Epidemiology | 2015
Gen Min Lin; Laura A. Colangelo; Donald M. Lloyd-Jones; Susan Redline; Joseph Yeboah; Susan R. Heckbert; Saman Nazarian; Alvaro Alonso; David A. Bluemke; Naresh M. Punjabi; Moyses Szklo; Kiang Liu
The association between sleep apnea and atrial fibrillation (AF) has not been examined in a multiethnic adult population in prospective community-based studies. We prospectively (2000-2011) investigated the associations of physician-diagnosed sleep apnea (PDSA), which is considered more severe sleep apnea, and self-reported habitual snoring without PDSA (HS), a surrogate for mild sleep apnea, with incident AF in white, black, and Hispanic participants in the Multi-Ethnic Study of Atherosclerosis (MESA) who were free of clinical cardiovascular disease at baseline (2000-2002). Cox proportional hazards models were used to assess the associations, with adjustment for socioeconomic status, traditional vascular disease risk factors, race/ethnicity, body mass index, diabetes, chronic kidney disease, alcohol intake, and lipid-lowering therapy. Out of 4,395 respondents to a sleep questionnaire administered in MESA, 181 reported PDSA, 1,086 reported HS, and 3,128 reported neither HS nor PDSA (unaffected). Over an average 8.5-year follow-up period, 212 AF events were identified. As compared with unaffected participants, PDSA was associated with incident AF in the multivariable analysis, but HS was not (PDSA: hazard ratio = 1.76, 95% confidence interval: 1.03, 3.02; HS: hazard ratio = 1.02, 95% confidence interval: 0.72, 1.44). PDSA, a marker of more severe sleep apnea, was associated with higher risk of incident AF in this analysis of MESA data.
Human Molecular Genetics | 2015
Sina A. Gharib; Daan W. Loth; María Soler Artigas; Timothy P. Birkland; Jemma B. Wilk; Louise V. Wain; Jennifer A. Brody; Ma'en Obeidat; Dana B. Hancock; Wenbo Tang; Rajesh Rawal; H. Marike Boezen; Medea Imboden; Jennifer E. Huffman; Lies Lahousse; Alexessander Couto Alves; Ani Manichaikul; Jennie Hui; Alanna C. Morrison; Adaikalavan Ramasamy; Albert V. Smith; Vilmundur Gudnason; Ida Surakka; Veronique Vitart; David Evans; David P. Strachan; Ian J. Deary; Albert Hofman; Sven Gläser; James F. Wilson
Chronic respiratory disorders are important contributors to the global burden of disease. Genome-wide association studies (GWASs) of lung function measures have identified several trait-associated loci, but explain only a modest portion of the phenotypic variability. We postulated that integrating pathway-based methods with GWASs of pulmonary function and airflow obstruction would identify a broader repertoire of genes and processes influencing these traits. We performed two independent GWASs of lung function and applied gene set enrichment analysis to one of the studies and validated the results using the second GWAS. We identified 131 significantly enriched gene sets associated with lung function and clustered them into larger biological modules involved in diverse processes including development, immunity, cell signaling, proliferation and arachidonic acid. We found that enrichment of gene sets was not driven by GWAS-significant variants or loci, but instead by those with less stringent association P-values. Next, we applied pathway enrichment analysis to a meta-analyzed GWAS of airflow obstruction. We identified several biologic modules that functionally overlapped with those associated with pulmonary function. However, differences were also noted, including enrichment of extracellular matrix (ECM) processes specifically in the airflow obstruction study. Network analysis of the ECM module implicated a candidate gene, matrix metalloproteinase 10 (MMP10), as a putative disease target. We used a knockout mouse model to functionally validate MMP10s role in influencing lungs susceptibility to cigarette smoke-induced emphysema. By integrating pathway analysis with population-based genomics, we unraveled biologic processes underlying pulmonary function traits and identified a candidate gene for obstructive lung disease.
American Journal of Epidemiology | 2014
Michael A. Rosenberg; Robert C. Kaplan; David S. Siscovick; Bruce M. Psaty; Susan R. Heckbert; Christopher Newton-Cheh; Kenneth J. Mukamal
Increased height is a known independent risk factor for atrial fibrillation (AF). However, whether genetic determinants of height influence risk is uncertain. In this candidate gene study, we examined the association of 209 height-associated single-nucleotide polymorphisms (SNPs) with incident AF in 3,309 persons of European descent from the Cardiovascular Health Study, a prospective cohort study of older adults (aged ≥ 65 years) enrolled in 1989-1990. After a median follow-up period of 13.2 years, 879 participants developed incident AF. The height-associated SNPs together explained approximately 10% of the variation in height (P = 6.0 × 10(-8)). Using an unweighted genetic height score, we found a nonsignificant association with risk of AF (per allele, hazard ratio = 1.01, 95% confidence interval: 1.00, 1.02; P = 0.06). In weighted analyses, we found that genetically predicted height was strongly associated with AF risk (per 10 cm, hazard ratio = 1.30, 95% confidence interval: 1.03, 1.64; P = 0.03). Importantly, for all models, the inclusion of actual height completely attenuated the genetic height effect. Finally, we identified 1 nonsynonymous SNP (rs1046934) that was independently associated with AF and may warrant future study. In conclusion, we found that genetic determinants of height appear to increase the risk of AF, primarily via height itself. This approach of examining SNPs associated with an intermediate phenotype should be considered as a method for identifying novel genetic targets.
Journal of The American Society of Hypertension | 2015
Wesley T. O'Neal; Elsayed Z. Soliman; Waqas T. Qureshi; Alvaro Alonso; Susan R. Heckbert; David M. Herrington
The association between sustained pre-hypertension and atrial fibrillation (AF) has not been thoroughly examined. This study included 5311 participants (mean age 62 ± 10 years; 47% male; 42.9% non-whites) from the Multi-Ethnic Study of Atherosclerosis. Sustained exposure was based on 2 or more visits within the same blood pressure category (optimal, <120/80 mm Hg; pre-hypertension, 120-139/80-89 mm Hg; hypertension, ≥140/90 mm Hg or antihypertensive medication use) during visits 1, 2, and 3. Cox regression was used to compute hazard ratios (HR) and 95% confidence intervals (CI) for the association between blood pressure category and AF. Over a median follow-up of 5.3 years, 182 (3.4%) participants developed AF. Pre-hypertension and hypertension were associated with an increased risk of AF compared with participants who had optimal blood pressure (optimal: HR, 1.0; referent; pre-hypertension: HR, 1.8; 95% CI, 1.004-3.2; hypertension: HR, 2.6; 95% CI, 1.6-4.4). Sustained pre-hypertension is associated with an increased risk of AF.
Journal of the American Heart Association | 2016
Shalini Dixit; Phyllis K. Stein; Thomas A. Dewland; Jonathan W. Dukes; Eric Vittinghoff; Susan R. Heckbert; Gregory M. Marcus
BACKGROUNDnPremature cardiac contractions are associated with increased morbidity and mortality. Though experts associate premature atrial contractions (PACs) and premature ventricular contractions (PVCs) with caffeine, there are no data to support this relationship in the general population. As certain caffeinated products may have cardiovascular benefits, recommendations against them may be detrimental.nnnMETHODS AND RESULTSnWe studied Cardiovascular Health Study participants with a baseline food frequency assessment, 24-hour ambulatory electrocardiography (Holter) monitoring, and without persistent atrial fibrillation. Frequencies of habitual coffee, tea, and chocolate consumption were assessed using a picture-sort food frequency survey. The main outcomes were PACs/h and PVCs/hour. Among 1388 participants (46% male, mean age 72 years), 840 (61%) consumed ≥1 caffeinated product per day. The median numbers of PACs and PVCs/h and interquartile ranges were 3 (1-12) and 1 (0-7), respectively. There were no differences in the number of PACs or PVCs/h across levels of coffee, tea, and chocolate consumption. After adjustment for potential confounders, more frequent consumption of these products was not associated with ectopy. In examining combined dietary intake of coffee, tea, and chocolate as a continuous measure, no relationships were observed after multivariable adjustment: 0.48% fewer PACs/h (95% CI -4.60 to 3.64) and 2.87% fewer PVCs/h (95% CI -8.18 to 2.43) per 1-serving/week increase in consumption.nnnCONCLUSIONSnIn the largest study to evaluate dietary patterns and quantify cardiac ectopy using 24-hour Holter monitoring, we found no relationship between chronic consumption of caffeinated products and ectopy.
International Journal of Epidemiology | 2017
Hugues Aschard; Martin D. Tobin; Dana B. Hancock; David Skurnik; Akshay Sood; Alan James; Albert V. Smith; Ani Manichaikul; Archie Campbell; Bram P. Prins; Caroline Hayward; Daan W. Loth; David J. Porteous; David P. Strachan; Eleftheria Zeggini; George T. O'Connor; Guy Brusselle; H. Marike Boezen; Holger Schulz; Ian J. Deary; Ian P. Hall; Igor Rudan; Jaakko Kaprio; James F. Wilson; Jemma B. Wilk; Jennifer E. Huffman; Jing Hua Zhao; Kim de Jong; Leo-Pekka Lyytikäinen; Louise V. Wain
Abstract Background: Smoking is the strongest environmental risk factor for reduced pulmonary function. The genetic component of various pulmonary traits has also been demonstrated, and at least 26 loci have been reproducibly associated with either FEV1 (forced expiratory volume in 1 second) or FEV1/FVC (FEV1/forced vital capacity). Although the main effects of smoking and genetic loci are well established, the question of potential gene-by-smoking interaction effect remains unanswered. The aim of the present study was to assess, using a genetic risk score approach, whether the effect of these 26 loci on pulmonary function is influenced by smoking. Methods: We evaluated the interaction between smoking exposure, considered as either ever vs never or pack-years, and a 26-single nucleotide polymorphisms (SNPs) genetic risk score in relation to FEV1 or FEV1/FVC in 50u2009047 participants of European ancestry from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) and SpiroMeta consortia. Results: We identified an interaction (βintu2009=u2009–0.036, 95% confidence interval, –0.040 to –0.032, Pu2009=u20090.00057) between an unweighted 26 SNP genetic risk score and smoking status (ever/never) on the FEV1/FVC ratio. In interpreting this interaction, we showed that the genetic risk of falling below the FEV1/FVC threshold used to diagnose chronic obstructive pulmonary disease is higher among ever smokers than among never smokers. A replication analysis in two independent datasets, although not statistically significant, showed a similar trend in the interaction effect. Conclusions: This study highlights the benefit of using genetic risk scores for identifying interactions missed when studying individual SNPs and shows, for the first time, that persons with the highest genetic risk for low FEV1/FVC may be more susceptible to the deleterious effects of smoking.
Heart Rhythm | 2017
Matthew A. Christensen; Kaylin T. Nguyen; Phyllis K. Stein; Raymond Fohtung; Elsayed Z. Soliman; Thomas A. Dewland; Eric Vittinghoff; Bruce M. Psaty; Susan R. Heckbert; Gregory M. Marcus
BACKGROUNDnBlacks have a lower risk of atrial fibrillation (AF) despite having more AF risk factors, but the mechanism remains unknown. Premature atrial contraction (PAC) burden is a recently identified risk factor for AF.nnnOBJECTIVEnThe purpose of this study was to determine whether the burden of PACs explains racial differences in AF risk.nnnMETHODSnPAC burden (number per hour) was assessed by 24-hour ambulatory electrocardiographic (ECG) monitoring in a randomly selected subset of patients in the Cardiovascular Health Study. Participants were followed prospectively for the development of AF, diagnosed by study ECG and hospital admission records.nnnRESULTSnAmong 938 participants (median age 73 years; 34% black; 58% female), 206 (22%) developed AF over a median follow-up of 11.0 years (interquartile range 6.1-13.4). After adjusting for age, sex, body mass index, coronary disease, congestive heart failure, diabetes, hypertension, alcohol consumption, smoking status, and study site, black race was associated with a 42% lower risk of AF (hazard ratio 0.58, 95% confidence interval [CI] 0.40-0.85; P = .005). The baseline PAC burden was 2.10 times (95% CI 1.57-2.83; P <.001) higher in whites than blacks. There was no detectable difference in premature ventricular contraction (PVC) burden by race. PAC burden mediated 19.5% (95% CI 6.3-52.5) of the adjusted association between race and AF.nnnCONCLUSIONnOn average, whites exhibited more PACs than blacks, and this difference statistically explains a modest proportion of the differential risk of AF by race. The differential PAC burden, without differences in PVCs, by race suggests that identifiable common exposures or genetic influences might be important to atrial pathophysiology.