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Browsing by Author "Hall, Michael E."
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Item Cigarette Smoking, Smoking Cessation, and Heart Failure Subtypes: Insights From the Jackson Heart Study(American Heart Association, 2024) Kamimura, Daisuke; Yimer, Wondwosen K.; Mentz, Robert J.; Shah, Amil M.; White, Wendy B.; Blaha, Michael J.; Oshunbade, Adebamike; Hamid, Arsalan; Suzuki, Takeki; Clark, Donald; Fox, Ervin R.; Correa, Adolfo; Butler, Javed; Hall, Michael E.; Medicine, School of MedicineBackground: Cigarette smoking has been associated with incident heart failure (HF). However, the association between cigarette smoking and smoking cessation with HF subtypes has not been well elucidated, particularly among Black people. Methods and results: We investigated 4189 (never smoker n=2934, former smoker n=761, current smoker n=464) Black participants (mean age 54 years, 64% women) without a history of HF or coronary heart disease at baseline in the Jackson Heart Study. We examined the association of cigarette smoking with incident HF hospitalization and HF subtypes (HF with preserved ejection fraction and HF with reduced ejection fraction). After adjustment for confounding factors, current smoking was associated with incident HF (both subtypes) compared with never smoking. Smoking intensity among those who identified as currently smoking and smoking burden among those who ever smoked were associated with higher incidence of HF with preserved ejection fraction compared with never smoking. Lung function evaluated by spirometry at baseline did not significantly influence these associations. The risk of developing HF decreased with more years after smoking cessation, and more than 20 years of smoking cessation were required to reach a risk comparable to that of never smoking. Conclusions: Smoking cigarettes was associated with developing both subtypes of HF and it was independent from the influences on baseline lung function. Long-term smoking cessation is necessary to prevent the onset of HF in people who smoke cigarettes.Item Physical Activity, Inflammation, Coronary Artery Calcification, and Incident Coronary Heart Disease in African Americans: Insights From the Jackson Heart Study(Elsevier, 2021) Kamimura, Daisuke; Cain-Shields, Loretta R.; Clark, Donald, III.; Oshunbade, Adebamike A.; Ashley, Kellan E.; Guild, Cameron S.; Loprinzi, Paul D.; Newton, Robert; Blaha, Michael J.; Suzuki, Takeki; Butler, Javed; Hall, John E.; Correa, Adolfo; Hall, Michael E.; Medicine, School of MedicineObjective: To examine associations between physical activity, inflammation, coronary artery calcification and incident coronary heart disease in African Americans. Methods: Among Jackson Heart Study participants without prevalent coronary heart disease at baseline (n=4295), we examined the relationships between physical activity and high-sensitivity CRP, the presence of coronary artery calcification (Agatston score≥100), and incident coronary heart disease. Based on the American Heart Association’s Life’s Simple 7 metrics, participants were classified as having poor, intermediate or ideal physical activity. Results: After adjusting for possible confounding factors, ideal physical activity was associated with lower high-sensitivity CRP levels (β: −0.15, 95%CI −0.15, −0.002) and a lower prevalence of coronary artery calcification (odds ratio: 0.70, 95%CI 0.51, 0.96) compared with poor physical activity. Over a median of 12.8 years follow up, there were 164 incident coronary heart disease events (3.3/1000 person-years). Ideal physical activity was associated with a lower rate of incident coronary heart disease compared with poor physical activity (hazard ratio 0.55, 95% CI 0.31, 0.98). Conclusions: In a large community-based African American cohort, ideal physical activity was associated with lower inflammation levels, a lower prevalence of coronary artery calcification, and a lower rate of incident coronary heart disease. These findings suggest that promotion of ideal physical activity may be an important way to reduce the risk of subclinical and future clinical coronary heart disease in African Americans.Item Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program(Springer Nature, 2021) Taliun, Daniel; Harris, Daniel N.; Kessler, Michael D.; Carlson, Jedidiah; Szpiech, Zachary A.; Torres, Raul; Gagliano Taliun, Sarah A.; Corvelo, André; Gogarten, Stephanie M.; Kang, Hyun Min; Pitsillides, Achilleas N.; LeFaive, Jonathon; Lee, Seung-Been; Tian, Xiaowen; Browning, Brian L.; Das, Sayantan; Emde, Anne-Katrin; Clarke, Wayne E.; Loesch, Douglas P.; Shetty, Amol C.; Blackwell, Thomas W.; Smith, Albert V.; Wong, Quenna; Liu, Xiaoming; Conomos, Matthew P.; Bobo, Dean M.; Aguet, François; Albert, Christine; Alonso, Alvaro; Ardlie, Kristin G.; Arking, Dan E.; Aslibekyan, Stella; Auer, Paul L.; Barnard, John; Barr, R. Graham; Barwick, Lucas; Becker, Lewis C.; Beer, Rebecca L.; Benjamin, Emelia J.; Bielak, Lawrence F.; Blangero, John; Boehnke, Michael; Bowden, Donald W.; Brody, Jennifer A.; Burchard, Esteban G.; Cade, Brian E.; Casella, James F.; Chalazan, Brandon; Chasman, Daniel I.; Chen, Yii-Der Ida; Cho, Michael H.; Choi, Seung Hoan; Chung, Mina K.; Clish, Clary B.; Correa, Adolfo; Curran, Joanne E.; Custer, Brian; Darbar, Dawood; Daya, Michelle; de Andrade, Mariza; DeMeo, Dawn L.; Dutcher, Susan K.; Ellinor, Patrick T.; Emery, Leslie S.; Eng, Celeste; Fatkin, Diane; Fingerlin, Tasha; Forer, Lukas; Fornage, Myriam; Franceschini, Nora; Fuchsberger, Christian; Fullerton, Stephanie M.; Germer, Soren; Gladwin, Mark T.; Gottlieb, Daniel J.; Guo, Xiuqing; Hall, Michael E.; He, Jiang; Heard-Costa, Nancy L.; Heckbert, Susan R.; Irvin, Marguerite R.; Johnsen, Jill M.; Johnson, Andrew D.; Kaplan, Robert; Kardia, Sharon L. R.; Kelly, Tanika; Kelly, Shannon; Kenny, Eimear E.; Kiel, Douglas P.; Klemmer, Robert; Konkle, Barbara A.; Kooperberg, Charles; Köttgen, Anna; Lange, Leslie A.; Lasky-Su, Jessica; Levy, Daniel; Lin, Xihong; Lin, Keng-Han; Liu, Chunyu; Loos, Ruth J. F.; Garman, Lori; Gerszten, Robert; Lubitz, Steven A.; Lunetta, Kathryn L.; Mak, Angel C. Y.; Manichaikul, Ani; Manning, Alisa K.; Mathias, Rasika A.; McManus, David D.; McGarvey, Stephen T.; Meigs, James B.; Meyers, Deborah A.; Mikulla, Julie L.; Minear, Mollie A.; Mitchell, Braxton D.; Mohanty, Sanghamitra; Montasser, May E.; Montgomery, Courtney; Morrison, Alanna C.; Murabito, Joanne M.; Natale, Andrea; Natarajan, Pradeep; Nelson, Sarah C.; North, Kari E.; O'Connell, Jeffrey R.; Palmer, Nicholette D.; Pankratz, Nathan; Peloso, Gina M.; Peyser, Patricia A.; Pleiness, Jacob; Post, Wendy S.; Psaty, Bruce M.; Rao, D. C.; Redline, Susan; Reiner, Alexander P.; Roden, Dan; Rotter, Jerome I.; Ruczinski, Ingo; Sarnowski, Chloé; Schoenherr, Sebastian; Schwartz, David A.; Seo, Jeong-Sun; Seshadri, Sudha; Sheehan, Vivien A.; Sheu, Wayne H.; Shoemaker, M. Benjamin; Smith, Nicholas L.; Smith, Jennifer A.; Sotoodehnia, Nona; Stilp, Adrienne M.; Tang, Weihong; Taylor, Kent D.; Telen, Marilyn; Thornton, Timothy A.; Tracy, Russell P.; Van Den Berg, David J.; Vasan, Ramachandran S.; Viaud-Martinez, Karine A.; Vrieze, Scott; Weeks, Daniel E.; Weir, Bruce S.; Weiss, Scott T.; Weng, Lu-Chen; Willer, Cristen J.; Zhang, Yingze; Zhao, Xutong; Arnett, Donna K.; Ashley-Koch, Allison E.; Barnes, Kathleen C.; Boerwinkle, Eric; Gabriel, Stacey; Gibbs, Richard; Rice, Kenneth M.; Rich, Stephen S.; Silverman, Edwin K.; Qasba, Pankaj; Gan, Weiniu; NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium; Papanicolaou, George J.; Nickerson, Deborah A.; Browning, Sharon R.; Zody, Michael C.; Zöllner, Sebastian; Wilson, James G.; Cupples, L. Adrienne; Laurie, Cathy C.; Jaquish, Cashell E.; Hernandez, Ryan D.; O'Connor, Timothy D.; Abecasis, Gonçalo R.; Epidemiology, Richard M. Fairbanks School of Public HealthThe Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes)1. In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01%.