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Global Health and Cardiovascular Disease.

Circulation

Kwan GF, Benjamin EJ.
PMID: 28163326
Circulation. 2015 Sep 29;132(13):1217. doi: 10.1161/CIRCULATIONAHA.115.019226. Epub 2015 Sep 28.

No abstract available.

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Kwan GF, Benjamin EJ. Global Health and Cardiovascular Disease. Circulation. 2015;132(13):1217doi: 10.1161/CIRCULATIONAHA.115.019226.
Kwan, G. F., & Benjamin, E. J. (2015). Global Health and Cardiovascular Disease. Circulation, 132(13), 1217. https://doi.org/10.1161/CIRCULATIONAHA.115.019226
Kwan, Gene F, and Benjamin, Emelia J. "Global Health and Cardiovascular Disease." Circulation vol. 132,13 (2015): 1217. doi: https://doi.org/10.1161/CIRCULATIONAHA.115.019226
Kwan GF, Benjamin EJ. Global Health and Cardiovascular Disease. Circulation. 2015 Sep 29;132(13):1217. doi: 10.1161/CIRCULATIONAHA.115.019226. Epub 2015 Sep 28. PMID: 28163326; PMCID: PMC5288008.
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New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation.

Cardiovascular research

Kornej J, Hanger VA, Trinquart L, Ko D, Preis SR, Benjamin EJ, Lin H.
PMID: 33751041
Cardiovasc Res. 2021 Jun 16;117(7):1632-1644. doi: 10.1093/cvr/cvab073.

Atrial fibrillation (AF) is a common cardiac arrhythmia leading to many adverse outcomes and increased mortality. Yet the molecular mechanisms underlying AF remain largely unknown. Recent advances in high-throughput technologies make large-scale molecular profiling possible. In the past decade,...

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Kornej J, Hanger VA, Trinquart L, et al. New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation. Cardiovasc Res. 2021;117(7):1632-1644doi: 10.1093/cvr/cvab073.
Kornej, J., Hanger, V. A., Trinquart, L., Ko, D., Preis, S. R., Benjamin, E. J., & Lin, H. (2021). New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation. Cardiovascular research, 117(7), 1632-1644. https://doi.org/10.1093/cvr/cvab073
Kornej, Jelena, et al. "New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation." Cardiovascular research vol. 117,7 (2021): 1632-1644. doi: https://doi.org/10.1093/cvr/cvab073
Kornej J, Hanger VA, Trinquart L, Ko D, Preis SR, Benjamin EJ, Lin H. New biomarkers from multiomics approaches: improving risk prediction of atrial fibrillation. Cardiovasc Res. 2021 Jun 16;117(7):1632-1644. doi: 10.1093/cvr/cvab073. PMID: 33751041; PMCID: PMC8208748.
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Deep learning enables genetic analysis of the human thoracic aorta.

Nature genetics

Pirruccello JP, Chaffin MD, Chou EL, Fleming SJ, Lin H, Nekoui M, Khurshid S, Friedman SF, Bick AG, Arduini A, Weng LC, Choi SH, Akkad AD, Batra P, Tucker NR, Hall AW, Roselli C, Benjamin EJ, Vellarikkal SK, Gupta RM, Stegmann CM, Juric D, Stone JR, Vasan RS, Ho JE, Hoffmann U, Lubitz SA, Philippakis AA, Lindsay ME, Ellinor PT.
PMID: 34837083
Nat Genet. 2022 Jan;54(1):40-51. doi: 10.1038/s41588-021-00962-4. Epub 2021 Nov 26.

Enlargement or aneurysm of the aorta predisposes to dissection, an important cause of sudden death. We trained a deep learning model to evaluate the dimensions of the ascending and descending thoracic aorta in 4.6 million cardiac magnetic resonance images...

Cite
Pirruccello JP, Chaffin MD, Chou EL, et al. Deep learning enables genetic analysis of the human thoracic aorta. Nat Genet. 2021;54(1):40-51doi: 10.1038/s41588-021-00962-4.
Pirruccello, J. P., Chaffin, M. D., Chou, E. L., Fleming, S. J., Lin, H., Nekoui, M., Khurshid, S., Friedman, S. F., Bick, A. G., Arduini, A., Weng, L. C., Choi, S. H., Akkad, A. D., Batra, P., Tucker, N. R., Hall, A. W., Roselli, C., Benjamin, E. J., Vellarikkal, S. K., Gupta, R. M., Stegmann, C. M., Juric, D., Stone, J. R., Vasan, R. S., Ho, J. E., Hoffmann, U., Lubitz, S. A., Philippakis, A. A., Lindsay, M. E., & Ellinor, P. T. (2022). Deep learning enables genetic analysis of the human thoracic aorta. Nature genetics, 54(1), 40-51. https://doi.org/10.1038/s41588-021-00962-4
Pirruccello, James P, et al. "Deep learning enables genetic analysis of the human thoracic aorta." Nature genetics vol. 54,1 (2022): 40-51. doi: https://doi.org/10.1038/s41588-021-00962-4
Pirruccello JP, Chaffin MD, Chou EL, Fleming SJ, Lin H, Nekoui M, Khurshid S, Friedman SF, Bick AG, Arduini A, Weng LC, Choi SH, Akkad AD, Batra P, Tucker NR, Hall AW, Roselli C, Benjamin EJ, Vellarikkal SK, Gupta RM, Stegmann CM, Juric D, Stone JR, Vasan RS, Ho JE, Hoffmann U, Lubitz SA, Philippakis AA, Lindsay ME, Ellinor PT. Deep learning enables genetic analysis of the human thoracic aorta. Nat Genet. 2022 Jan;54(1):40-51. doi: 10.1038/s41588-021-00962-4. Epub 2021 Nov 26. PMID: 34837083; PMCID: PMC8758523.
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Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model.

Journal of the American Heart Association

Khurshid S, Chen W, Singer DE, Atlas SJ, Ashburner JM, Choi JG, Hur C, Ellinor PT, McManus DD, Chhatwal J, Lubitz SA.
PMID: 34476979
J Am Heart Assoc. 2021 Sep 21;10(18):e020330. doi: 10.1161/JAHA.120.020330. Epub 2021 Sep 03.

Background Atrial fibrillation (AF) screening is endorsed by certain guidelines for individuals aged ≥65 years. Yet many AF screening strategies exist, including the use of wrist-worn wearable devices, and their comparative effectiveness is not well-understood. Methods and Results We...

Cite
Khurshid S, Chen W, Singer DE, et al. Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. J Am Heart Assoc. 2021;10(18):e020330doi: 10.1161/JAHA.120.020330.
Khurshid, S., Chen, W., Singer, D. E., Atlas, S. J., Ashburner, J. M., Choi, J. G., Hur, C., Ellinor, P. T., McManus, D. D., Chhatwal, J., & Lubitz, S. A. (2021). Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. Journal of the American Heart Association, 10(18), e020330. https://doi.org/10.1161/JAHA.120.020330
Khurshid, Shaan, et al. "Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model." Journal of the American Heart Association vol. 10,18 (2021): e020330. doi: https://doi.org/10.1161/JAHA.120.020330
Khurshid S, Chen W, Singer DE, Atlas SJ, Ashburner JM, Choi JG, Hur C, Ellinor PT, McManus DD, Chhatwal J, Lubitz SA. Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. J Am Heart Assoc. 2021 Sep 21;10(18):e020330. doi: 10.1161/JAHA.120.020330. Epub 2021 Sep 03. PMID: 34476979; PMCID: PMC8649502.
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Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop.

Circulation

Benjamin EJ, Go AS, Desvigne-Nickens P, Anderson CD, Casadei B, Chen LY, Crijns HJGM, Freedman B, Hills MT, Healey JS, Kamel H, Kim DY, Link MS, Lopes RD, Lubitz SA, McManus DD, Noseworthy PA, Perez MV, Piccini JP, Schnabel RB, Singer DE, Tieleman RG, Turakhia MP, Van Gelder IC, Cooper LS, Al-Khatib SM.
PMID: 33493033
Circulation. 2021 Jan 26;143(4):372-388. doi: 10.1161/CIRCULATIONAHA.120.047633. Epub 2021 Jan 25.

Clinically recognized atrial fibrillation (AF) is associated with higher risk of complications, including ischemic stroke, cognitive decline, heart failure, myocardial infarction, and death. It is increasingly recognized that AF frequently is undetected until complications such as stroke or heart...

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Benjamin EJ, Go AS, Desvigne-Nickens P, et al. Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop. Circulation. 2021;143(4):372-388doi: 10.1161/CIRCULATIONAHA.120.047633.
Benjamin, E. J., Go, A. S., Desvigne-Nickens, P., Anderson, C. D., Casadei, B., Chen, L. Y., Crijns, H. J. G. M., Freedman, B., Hills, M. T., Healey, J. S., Kamel, H., Kim, D. Y., Link, M. S., Lopes, R. D., Lubitz, S. A., McManus, D. D., Noseworthy, P. A., Perez, M. V., Piccini, J. P., Schnabel, R. B., Singer, D. E., Tieleman, R. G., Turakhia, M. P., Van Gelder, I. C., Cooper, L. S., & Al-Khatib, S. M. (2021). Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop. Circulation, 143(4), 372-388. https://doi.org/10.1161/CIRCULATIONAHA.120.047633
Benjamin, Emelia J, et al. "Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop." Circulation vol. 143,4 (2021): 372-388. doi: https://doi.org/10.1161/CIRCULATIONAHA.120.047633
Benjamin EJ, Go AS, Desvigne-Nickens P, Anderson CD, Casadei B, Chen LY, Crijns HJGM, Freedman B, Hills MT, Healey JS, Kamel H, Kim DY, Link MS, Lopes RD, Lubitz SA, McManus DD, Noseworthy PA, Perez MV, Piccini JP, Schnabel RB, Singer DE, Tieleman RG, Turakhia MP, Van Gelder IC, Cooper LS, Al-Khatib SM. Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop. Circulation. 2021 Jan 26;143(4):372-388. doi: 10.1161/CIRCULATIONAHA.120.047633. Epub 2021 Jan 25. PMID: 33493033.
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Epigenetic Age and the Risk of Incident Atrial Fibrillation.

Circulation

Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM.
PMID: 34587750
Circulation. 2021 Dec 14;144(24):1899-1911. doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30.

BACKGROUND: The most prominent risk factor for atrial fibrillation (AF) is chronological age; however, underlying mechanisms are unexplained. Algorithms using epigenetic modifications to the human genome effectively predict chronological age. Chronological and epigenetic predicted ages may diverge in a...

Cite
Roberts JD, Vittinghoff E, Lu AT, et al. Epigenetic Age and the Risk of Incident Atrial Fibrillation. Circulation. 2021;144(24):1899-1911doi: 10.1161/CIRCULATIONAHA.121.056456.
Roberts, J. D., Vittinghoff, E., Lu, A. T., Alonso, A., Wang, B., Sitlani, C. M., Mohammadi-Shemirani, P., Fornage, M., Kornej, J., Brody, J. A., Arking, D. E., Lin, H., Heckbert, S. R., Prokic, I., Ghanbari, M., Skanes, A. C., Bartz, T. M., Perez, M. V., Taylor, K. D., Lubitz, S. A., Ellinor, P. T., Lunetta, K. L., Pankow, J. S., Paré, G., Sotoodehnia, N., Benjamin, E. J., Horvath, S., & Marcus, G. M. (2021). Epigenetic Age and the Risk of Incident Atrial Fibrillation. Circulation, 144(24), 1899-1911. https://doi.org/10.1161/CIRCULATIONAHA.121.056456
Roberts, Jason D, et al. "Epigenetic Age and the Risk of Incident Atrial Fibrillation." Circulation vol. 144,24 (2021): 1899-1911. doi: https://doi.org/10.1161/CIRCULATIONAHA.121.056456
Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM. Epigenetic Age and the Risk of Incident Atrial Fibrillation. Circulation. 2021 Dec 14;144(24):1899-1911. doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30. PMID: 34587750.
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Mentoring for Success in Tobacco Regulatory Science: A Qualitative Study.

Tobacco regulatory science

Russo AR, Solis AC, Villanti AC, Wipfli HL, Kern TT, Lawley RK, Collins LK, Abudayyeh HS, Chansky MC, Glantz SA, Samet JM, Benjamin EJ.
PMID: 28758143
Tob Regul Sci. 2017 Jul;3(3):280-292. doi: 10.18001/TRS.3.3.4.

OBJECTIVES: Our study explores the experiences of early career and senior scientists regarding mentorship and career trajectories in tobacco regulatory science (TRS).METHODS: We conducted 22 phone interviews with early career and senior tobacco regulatory scientists from July 2015 to...

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Russo AR, Solis AC, Villanti AC, et al. Mentoring for Success in Tobacco Regulatory Science: A Qualitative Study. Tob Regul Sci. 2017;3(3):280-292doi: 10.18001/TRS.3.3.4.
Russo, A. R., Solis, A. C., Villanti, A. C., Wipfli, H. L., Kern, T. T., Lawley, R. K., Collins, L. K., Abudayyeh, H. S., Chansky, M. C., Glantz, S. A., Samet, J. M., & Benjamin, E. J. (2017). Mentoring for Success in Tobacco Regulatory Science: A Qualitative Study. Tobacco regulatory science, 3(3), 280-292. https://doi.org/10.18001/TRS.3.3.4
Russo, Abigail R, et al. "Mentoring for Success in Tobacco Regulatory Science: A Qualitative Study." Tobacco regulatory science vol. 3,3 (2017): 280-292. doi: https://doi.org/10.18001/TRS.3.3.4
Russo AR, Solis AC, Villanti AC, Wipfli HL, Kern TT, Lawley RK, Collins LK, Abudayyeh HS, Chansky MC, Glantz SA, Samet JM, Benjamin EJ. Mentoring for Success in Tobacco Regulatory Science: A Qualitative Study. Tob Regul Sci. 2017 Jul;3(3):280-292. doi: 10.18001/TRS.3.3.4. PMID: 28758143; PMCID: PMC5533280.
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Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model.

Journal of the American Heart Association

Khurshid S, Chen W, Singer DE, Atlas SJ, Ashburner JM, Choi JG, Hur C, Ellinor PT, McManus DD, Chhatwal J, Lubitz SA.
PMID: 34476979
J Am Heart Assoc. 2021 Sep 21;10(18):e020330. doi: 10.1161/JAHA.120.020330. Epub 2021 Sep 03.

Background Atrial fibrillation (AF) screening is endorsed by certain guidelines for individuals aged ≥65 years. Yet many AF screening strategies exist, including the use of wrist-worn wearable devices, and their comparative effectiveness is not well-understood. Methods and Results We...

Cite
Khurshid S, Chen W, Singer DE, et al. Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. J Am Heart Assoc. 2021;10(18):e020330doi: 10.1161/JAHA.120.020330.
Khurshid, S., Chen, W., Singer, D. E., Atlas, S. J., Ashburner, J. M., Choi, J. G., Hur, C., Ellinor, P. T., McManus, D. D., Chhatwal, J., & Lubitz, S. A. (2021). Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. Journal of the American Heart Association, 10(18), e020330. https://doi.org/10.1161/JAHA.120.020330
Khurshid, Shaan, et al. "Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model." Journal of the American Heart Association vol. 10,18 (2021): e020330. doi: https://doi.org/10.1161/JAHA.120.020330
Khurshid S, Chen W, Singer DE, Atlas SJ, Ashburner JM, Choi JG, Hur C, Ellinor PT, McManus DD, Chhatwal J, Lubitz SA. Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. J Am Heart Assoc. 2021 Sep 21;10(18):e020330. doi: 10.1161/JAHA.120.020330. Epub 2021 Sep 03. PMID: 34476979.
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Deep learning enables genetic analysis of the human thoracic aorta.

Nature genetics

Pirruccello JP, Chaffin MD, Chou EL, Fleming SJ, Lin H, Nekoui M, Khurshid S, Friedman SF, Bick AG, Arduini A, Weng LC, Choi SH, Akkad AD, Batra P, Tucker NR, Hall AW, Roselli C, Benjamin EJ, Vellarikkal SK, Gupta RM, Stegmann CM, Juric D, Stone JR, Vasan RS, Ho JE, Hoffmann U, Lubitz SA, Philippakis AA, Lindsay ME, Ellinor PT.
PMID: 34837083
Nat Genet. 2022 Jan;54(1):40-51. doi: 10.1038/s41588-021-00962-4. Epub 2021 Nov 26.

Enlargement or aneurysm of the aorta predisposes to dissection, an important cause of sudden death. We trained a deep learning model to evaluate the dimensions of the ascending and descending thoracic aorta in 4.6 million cardiac magnetic resonance images...

Cite
Pirruccello JP, Chaffin MD, Chou EL, et al. Deep learning enables genetic analysis of the human thoracic aorta. Nat Genet. 2021;54(1):40-51doi: 10.1038/s41588-021-00962-4.
Pirruccello, J. P., Chaffin, M. D., Chou, E. L., Fleming, S. J., Lin, H., Nekoui, M., Khurshid, S., Friedman, S. F., Bick, A. G., Arduini, A., Weng, L. C., Choi, S. H., Akkad, A. D., Batra, P., Tucker, N. R., Hall, A. W., Roselli, C., Benjamin, E. J., Vellarikkal, S. K., Gupta, R. M., Stegmann, C. M., Juric, D., Stone, J. R., Vasan, R. S., Ho, J. E., Hoffmann, U., Lubitz, S. A., Philippakis, A. A., Lindsay, M. E., & Ellinor, P. T. (2022). Deep learning enables genetic analysis of the human thoracic aorta. Nature genetics, 54(1), 40-51. https://doi.org/10.1038/s41588-021-00962-4
Pirruccello, James P, et al. "Deep learning enables genetic analysis of the human thoracic aorta." Nature genetics vol. 54,1 (2022): 40-51. doi: https://doi.org/10.1038/s41588-021-00962-4
Pirruccello JP, Chaffin MD, Chou EL, Fleming SJ, Lin H, Nekoui M, Khurshid S, Friedman SF, Bick AG, Arduini A, Weng LC, Choi SH, Akkad AD, Batra P, Tucker NR, Hall AW, Roselli C, Benjamin EJ, Vellarikkal SK, Gupta RM, Stegmann CM, Juric D, Stone JR, Vasan RS, Ho JE, Hoffmann U, Lubitz SA, Philippakis AA, Lindsay ME, Ellinor PT. Deep learning enables genetic analysis of the human thoracic aorta. Nat Genet. 2022 Jan;54(1):40-51. doi: 10.1038/s41588-021-00962-4. Epub 2021 Nov 26. PMID: 34837083.
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Adherence to Ideal Cardiovascular Health Metrics Is Associated With Reduced Odds of Hepatic Steatosis.

Hepatology communications

DeCoste LR, Wang N, Palmisano JN, Mendez J, Hoffmann U, Benjamin EJ, Long MT.
PMID: 33437902
Hepatol Commun. 2020 Oct 10;5(1):74-82. doi: 10.1002/hep4.1614. eCollection 2021 Jan.

The American Heart Association (AHA) introduced Life's Simple 7 as a metric to define ideal cardiovascular health. We examined the association between cardiovascular health score (CHS) and prevalent nonalcoholic fatty liver disease (NAFLD) among Framingham Heart Study participants with...

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DeCoste LR, Wang N, Palmisano JN, et al. Adherence to Ideal Cardiovascular Health Metrics Is Associated With Reduced Odds of Hepatic Steatosis. Hepatol Commun. 2020;5(1):74-82doi: 10.1002/hep4.1614.
DeCoste, L. R., Wang, N., Palmisano, J. N., Mendez, J., Hoffmann, U., Benjamin, E. J., & Long, M. T. (2021). Adherence to Ideal Cardiovascular Health Metrics Is Associated With Reduced Odds of Hepatic Steatosis. Hepatology communications, 5(1), 74-82. https://doi.org/10.1002/hep4.1614
DeCoste, Leah R, et al. "Adherence to Ideal Cardiovascular Health Metrics Is Associated With Reduced Odds of Hepatic Steatosis." Hepatology communications vol. 5,1 (2021): 74-82. doi: https://doi.org/10.1002/hep4.1614
DeCoste LR, Wang N, Palmisano JN, Mendez J, Hoffmann U, Benjamin EJ, Long MT. Adherence to Ideal Cardiovascular Health Metrics Is Associated With Reduced Odds of Hepatic Steatosis. Hepatol Commun. 2020 Oct 10;5(1):74-82. doi: 10.1002/hep4.1614. eCollection 2021 Jan. PMID: 33437902; PMCID: PMC7789839.
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Coronary Disease Association With ADAMTS7 Is Due to Protease Activity.

Circulation research

Mizoguchi T, MacDonald BT, Bhandary B, Popp NR, Laprise D, Arduini A, Lai D, Zhu QM, Xing Y, Kaushik VK, Kathiresan S, Ellinor PT.
PMID: 34176299
Circ Res. 2021 Aug 06;129(4):458-470. doi: 10.1161/CIRCRESAHA.121.319163. Epub 2021 Jun 28.

[Figure: see text].

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Mizoguchi T, MacDonald BT, Bhandary B, et al. Coronary Disease Association With ADAMTS7 Is Due to Protease Activity. Circ Res. 2021;129(4):458-470doi: 10.1161/CIRCRESAHA.121.319163.
Mizoguchi, T., MacDonald, B. T., Bhandary, B., Popp, N. R., Laprise, D., Arduini, A., Lai, D., Zhu, Q. M., Xing, Y., Kaushik, V. K., Kathiresan, S., & Ellinor, P. T. (2021). Coronary Disease Association With ADAMTS7 Is Due to Protease Activity. Circulation research, 129(4), 458-470. https://doi.org/10.1161/CIRCRESAHA.121.319163
Mizoguchi, Taiji, et al. "Coronary Disease Association With ADAMTS7 Is Due to Protease Activity." Circulation research vol. 129,4 (2021): 458-470. doi: https://doi.org/10.1161/CIRCRESAHA.121.319163
Mizoguchi T, MacDonald BT, Bhandary B, Popp NR, Laprise D, Arduini A, Lai D, Zhu QM, Xing Y, Kaushik VK, Kathiresan S, Ellinor PT. Coronary Disease Association With ADAMTS7 Is Due to Protease Activity. Circ Res. 2021 Aug 06;129(4):458-470. doi: 10.1161/CIRCRESAHA.121.319163. Epub 2021 Jun 28. PMID: 34176299; PMCID: PMC8349873.
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Epigenetic Age and the Risk of Incident Atrial Fibrillation.

Circulation

Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM.
PMID: 34587750
Circulation. 2021 Dec 14;144(24):1899-1911. doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30.

BACKGROUND: The most prominent risk factor for atrial fibrillation (AF) is chronological age; however, underlying mechanisms are unexplained. Algorithms using epigenetic modifications to the human genome effectively predict chronological age. Chronological and epigenetic predicted ages may diverge in a...

Cite
Roberts JD, Vittinghoff E, Lu AT, et al. Epigenetic Age and the Risk of Incident Atrial Fibrillation. Circulation. 2021;144(24):1899-1911doi: 10.1161/CIRCULATIONAHA.121.056456.
Roberts, J. D., Vittinghoff, E., Lu, A. T., Alonso, A., Wang, B., Sitlani, C. M., Mohammadi-Shemirani, P., Fornage, M., Kornej, J., Brody, J. A., Arking, D. E., Lin, H., Heckbert, S. R., Prokic, I., Ghanbari, M., Skanes, A. C., Bartz, T. M., Perez, M. V., Taylor, K. D., Lubitz, S. A., Ellinor, P. T., Lunetta, K. L., Pankow, J. S., Paré, G., Sotoodehnia, N., Benjamin, E. J., Horvath, S., & Marcus, G. M. (2021). Epigenetic Age and the Risk of Incident Atrial Fibrillation. Circulation, 144(24), 1899-1911. https://doi.org/10.1161/CIRCULATIONAHA.121.056456
Roberts, Jason D, et al. "Epigenetic Age and the Risk of Incident Atrial Fibrillation." Circulation vol. 144,24 (2021): 1899-1911. doi: https://doi.org/10.1161/CIRCULATIONAHA.121.056456
Roberts JD, Vittinghoff E, Lu AT, Alonso A, Wang B, Sitlani CM, Mohammadi-Shemirani P, Fornage M, Kornej J, Brody JA, Arking DE, Lin H, Heckbert SR, Prokic I, Ghanbari M, Skanes AC, Bartz TM, Perez MV, Taylor KD, Lubitz SA, Ellinor PT, Lunetta KL, Pankow JS, Paré G, Sotoodehnia N, Benjamin EJ, Horvath S, Marcus GM. Epigenetic Age and the Risk of Incident Atrial Fibrillation. Circulation. 2021 Dec 14;144(24):1899-1911. doi: 10.1161/CIRCULATIONAHA.121.056456. Epub 2021 Sep 30. PMID: 34587750; PMCID: PMC8671333.
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