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Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke.

Journal of the American Heart Association

Ashburner JM, Wang X, Li X, Khurshid S, Ko D, Trisini Lipsanopoulos A, Lee PR, Carmichael T, Turner AC, Jackson C, Ellinor PT, Benjamin EJ, Atlas SJ, Singer DE, Trinquart L, Lubitz SA, Anderson CD.
PMID: 34666503
J Am Heart Assoc. 2021 Nov 02;10(21):e022363. doi: 10.1161/JAHA.121.022363. Epub 2021 Oct 20.

Background Performance of existing atrial fibrillation (AF) risk prediction models in poststroke populations is unclear. We evaluated predictive utility of an AF risk model in patients with acute stroke and assessed performance of a fully refitted model. Methods and...

Cite
Ashburner JM, Wang X, Li X, et al. Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. J Am Heart Assoc. 2021;10(21):e022363doi: 10.1161/JAHA.121.022363.
Ashburner, J. M., Wang, X., Li, X., Khurshid, S., Ko, D., Trisini Lipsanopoulos, A., Lee, P. R., Carmichael, T., Turner, A. C., Jackson, C., Ellinor, P. T., Benjamin, E. J., Atlas, S. J., Singer, D. E., Trinquart, L., Lubitz, S. A., & Anderson, C. D. (2021). Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. Journal of the American Heart Association, 10(21), e022363. https://doi.org/10.1161/JAHA.121.022363
Ashburner, Jeffrey M, et al. "Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke." Journal of the American Heart Association vol. 10,21 (2021): e022363. doi: https://doi.org/10.1161/JAHA.121.022363
Ashburner JM, Wang X, Li X, Khurshid S, Ko D, Trisini Lipsanopoulos A, Lee PR, Carmichael T, Turner AC, Jackson C, Ellinor PT, Benjamin EJ, Atlas SJ, Singer DE, Trinquart L, Lubitz SA, Anderson CD. Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. J Am Heart Assoc. 2021 Nov 02;10(21):e022363. doi: 10.1161/JAHA.121.022363. Epub 2021 Oct 20. PMID: 34666503; PMCID: PMC8751842.
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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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Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke.

Journal of the American Heart Association

Ashburner JM, Wang X, Li X, Khurshid S, Ko D, Trisini Lipsanopoulos A, Lee PR, Carmichael T, Turner AC, Jackson C, Ellinor PT, Benjamin EJ, Atlas SJ, Singer DE, Trinquart L, Lubitz SA, Anderson CD.
PMID: 34666503
J Am Heart Assoc. 2021 Nov 02;10(21):e022363. doi: 10.1161/JAHA.121.022363. Epub 2021 Oct 20.

Background Performance of existing atrial fibrillation (AF) risk prediction models in poststroke populations is unclear. We evaluated predictive utility of an AF risk model in patients with acute stroke and assessed performance of a fully refitted model. Methods and...

Cite
Ashburner JM, Wang X, Li X, et al. Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. J Am Heart Assoc. 2021;10(21):e022363doi: 10.1161/JAHA.121.022363.
Ashburner, J. M., Wang, X., Li, X., Khurshid, S., Ko, D., Trisini Lipsanopoulos, A., Lee, P. R., Carmichael, T., Turner, A. C., Jackson, C., Ellinor, P. T., Benjamin, E. J., Atlas, S. J., Singer, D. E., Trinquart, L., Lubitz, S. A., & Anderson, C. D. (2021). Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. Journal of the American Heart Association, 10(21), e022363. https://doi.org/10.1161/JAHA.121.022363
Ashburner, Jeffrey M, et al. "Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke." Journal of the American Heart Association vol. 10,21 (2021): e022363. doi: https://doi.org/10.1161/JAHA.121.022363
Ashburner JM, Wang X, Li X, Khurshid S, Ko D, Trisini Lipsanopoulos A, Lee PR, Carmichael T, Turner AC, Jackson C, Ellinor PT, Benjamin EJ, Atlas SJ, Singer DE, Trinquart L, Lubitz SA, Anderson CD. Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. J Am Heart Assoc. 2021 Nov 02;10(21):e022363. doi: 10.1161/JAHA.121.022363. Epub 2021 Oct 20. PMID: 34666503.
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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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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].

Cite
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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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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Ibrutinib-Mediated Atrial Fibrillation Attributable to Inhibition of C-Terminal Src Kinase.

Circulation

Xiao L, Salem JE, Clauss S, Hanley A, Bapat A, Hulsmans M, Iwamoto Y, Wojtkiewicz G, Cetinbas M, Schloss MJ, Tedeschi J, Lebrun-Vignes B, Lundby A, Sadreyev RI, Moslehi J, Nahrendorf M, Ellinor PT, Milan DJ.
PMID: 33092403
Circulation. 2020 Dec 22;142(25):2443-2455. doi: 10.1161/CIRCULATIONAHA.120.049210. Epub 2020 Oct 23.

BACKGROUND: Ibrutinib is a Bruton tyrosine kinase inhibitor with remarkable efficacy against B-cell cancers. Ibrutinib also increases the risk of atrial fibrillation (AF), which remains poorly understood.METHODS: We performed electrophysiology studies on mice treated with ibrutinib to assess inducibility...

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Xiao L, Salem JE, Clauss S, et al. Ibrutinib-Mediated Atrial Fibrillation Attributable to Inhibition of C-Terminal Src Kinase. Circulation. 2020;142(25):2443-2455doi: 10.1161/CIRCULATIONAHA.120.049210.
Xiao, L., Salem, J. E., Clauss, S., Hanley, A., Bapat, A., Hulsmans, M., Iwamoto, Y., Wojtkiewicz, G., Cetinbas, M., Schloss, M. J., Tedeschi, J., Lebrun-Vignes, B., Lundby, A., Sadreyev, R. I., Moslehi, J., Nahrendorf, M., Ellinor, P. T., & Milan, D. J. (2020). Ibrutinib-Mediated Atrial Fibrillation Attributable to Inhibition of C-Terminal Src Kinase. Circulation, 142(25), 2443-2455. https://doi.org/10.1161/CIRCULATIONAHA.120.049210
Xiao, Ling, et al. "Ibrutinib-Mediated Atrial Fibrillation Attributable to Inhibition of C-Terminal Src Kinase." Circulation vol. 142,25 (2020): 2443-2455. doi: https://doi.org/10.1161/CIRCULATIONAHA.120.049210
Xiao L, Salem JE, Clauss S, Hanley A, Bapat A, Hulsmans M, Iwamoto Y, Wojtkiewicz G, Cetinbas M, Schloss MJ, Tedeschi J, Lebrun-Vignes B, Lundby A, Sadreyev RI, Moslehi J, Nahrendorf M, Ellinor PT, Milan DJ. Ibrutinib-Mediated Atrial Fibrillation Attributable to Inhibition of C-Terminal Src Kinase. Circulation. 2020 Dec 22;142(25):2443-2455. doi: 10.1161/CIRCULATIONAHA.120.049210. Epub 2020 Oct 23. PMID: 33092403.
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Hematopoietic mosaic chromosomal alterations and risk for infection among 767,891 individuals without blood cancer.

medRxiv : the preprint server for health sciences

Zekavat SM, Lin SH, Bick AG, Liu A, Paruchuri K, Uddin MM, Ye Y, Yu Z, Liu X, Kamatani Y, Pirruccello JP, Pampana A, Loh PR, Kohli P, McCarroll SA, Neale B, Engels EA, Brown DW, Smoller JW, Green R, Karlson EW, Lebo M, Ellinor PT, Weiss ST, Daly MJ, Terao C, Zhao H, Ebert BL, Ganna A, Machiela MJ, Genovese G, Natarajan P.
PMID: 33236019
medRxiv. 2020 Nov 16; doi: 10.1101/2020.11.12.20230821.

Age is the dominant risk factor for infectious diseases, but the mechanisms linking the two are incompletely understood

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Zekavat SM, Lin SH, Bick AG, et al. Hematopoietic mosaic chromosomal alterations and risk for infection among 767,891 individuals without blood cancer. medRxiv. 2020;doi: 10.1101/2020.11.12.20230821.
Zekavat, S. M., Lin, S. H., Bick, A. G., Liu, A., Paruchuri, K., Uddin, M. M., Ye, Y., Yu, Z., Liu, X., Kamatani, Y., Pirruccello, J. P., Pampana, A., Loh, P. R., Kohli, P., McCarroll, S. A., Neale, B., Engels, E. A., Brown, D. W., Smoller, J. W., Green, R., Karlson, E. W., Lebo, M., Ellinor, P. T., Weiss, S. T., Daly, M. J., Terao, C., Zhao, H., Ebert, B. L., Ganna, A., Machiela, M. J., Genovese, G., & Natarajan, P. (2020). Hematopoietic mosaic chromosomal alterations and risk for infection among 767,891 individuals without blood cancer. medRxiv : the preprint server for health sciences, . https://doi.org/10.1101/2020.11.12.20230821
Zekavat, Seyedeh M, et al. "Hematopoietic mosaic chromosomal alterations and risk for infection among 767,891 individuals without blood cancer." medRxiv : the preprint server for health sciences vol. (2020). doi: https://doi.org/10.1101/2020.11.12.20230821
Zekavat SM, Lin SH, Bick AG, Liu A, Paruchuri K, Uddin MM, Ye Y, Yu Z, Liu X, Kamatani Y, Pirruccello JP, Pampana A, Loh PR, Kohli P, McCarroll SA, Neale B, Engels EA, Brown DW, Smoller JW, Green R, Karlson EW, Lebo M, Ellinor PT, Weiss ST, Daly MJ, Terao C, Zhao H, Ebert BL, Ganna A, Machiela MJ, Genovese G, Natarajan P. Hematopoietic mosaic chromosomal alterations and risk for infection among 767,891 individuals without blood cancer. medRxiv. 2020 Nov 16; doi: 10.1101/2020.11.12.20230821. PMID: 33236019; PMCID: PMC7685330.
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Plasma Proteomics of COVID-19 Associated Cardiovascular Complications: Implications for Pathophysiology and Therapeutics.

Research square

Roh J, Kitchen R, Guseh JS, McNeill J, Aid M, Martinot A, Yu A, Platt C, Rhee J, Weber B, Trager L, Hastings M, Ducat S, Xia P, Castro C, Atlason B, Churchill T, Carli MD, Ellinor P, Barouch D, Ho J, Rosenzweig A.
PMID: 34127963
Res Sq. 2021 Jun 08; doi: 10.21203/rs.3.rs-539712/v1.

Cardiovascular complications are common in COVID-19 and strongly associated with disease severity and mortality. However, the mechanisms driving cardiac injury and failure in COVID-19 are largely unknown. We performed plasma proteomics on 80 COVID-19 patients and controls, grouped according...

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Roh J, Kitchen R, Guseh JS, et al. Plasma Proteomics of COVID-19 Associated Cardiovascular Complications: Implications for Pathophysiology and Therapeutics. Res Sq. 2021;doi: 10.21203/rs.3.rs-539712/v1.
Roh, J., Kitchen, R., Guseh, J. S., McNeill, J., Aid, M., Martinot, A., Yu, A., Platt, C., Rhee, J., Weber, B., Trager, L., Hastings, M., Ducat, S., Xia, P., Castro, C., Atlason, B., Churchill, T., Carli, M. D., Ellinor, P., Barouch, D., Ho, J., & Rosenzweig, A. (2021). Plasma Proteomics of COVID-19 Associated Cardiovascular Complications: Implications for Pathophysiology and Therapeutics. Research square, . https://doi.org/10.21203/rs.3.rs-539712/v1
Roh, Jason, et al. "Plasma Proteomics of COVID-19 Associated Cardiovascular Complications: Implications for Pathophysiology and Therapeutics." Research square vol. (2021). doi: https://doi.org/10.21203/rs.3.rs-539712/v1
Roh J, Kitchen R, Guseh JS, McNeill J, Aid M, Martinot A, Yu A, Platt C, Rhee J, Weber B, Trager L, Hastings M, Ducat S, Xia P, Castro C, Atlason B, Churchill T, Carli MD, Ellinor P, Barouch D, Ho J, Rosenzweig A. Plasma Proteomics of COVID-19 Associated Cardiovascular Complications: Implications for Pathophysiology and Therapeutics. Res Sq. 2021 Jun 08; doi: 10.21203/rs.3.rs-539712/v1. PMID: 34127963; PMCID: PMC8202429.
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Early-Onset Atrial Fibrillation and the Prevalence of Rare Variants in Cardiomyopathy and Arrhythmia Genes.

JAMA cardiology

Yoneda ZT, Anderson KC, Quintana JA, O'Neill MJ, Sims RA, Glazer AM, Shaffer CM, Crawford DM, Stricker T, Ye F, Wells Q, Stevenson LW, Michaud GF, Darbar D, Lubitz SA, Ellinor PT, Roden DM, Shoemaker MB.
PMID: 34495297
JAMA Cardiol. 2021 Dec 01;6(12):1371-1379. doi: 10.1001/jamacardio.2021.3370.

IMPORTANCE: Early-onset atrial fibrillation (AF) can be the initial manifestation of a more serious underlying inherited cardiomyopathy or arrhythmia syndrome.OBJECTIVE: To examine the results of genetic testing for early-onset AF.DESIGN, SETTING, AND PARTICIPANTS: This prospective, observational cohort study enrolled...

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Yoneda ZT, Anderson KC, Quintana JA, et al. Early-Onset Atrial Fibrillation and the Prevalence of Rare Variants in Cardiomyopathy and Arrhythmia Genes. JAMA Cardiol. 2021;6(12):1371-1379doi: 10.1001/jamacardio.2021.3370.
Yoneda, Z. T., Anderson, K. C., Quintana, J. A., O'Neill, M. J., Sims, R. A., Glazer, A. M., Shaffer, C. M., Crawford, D. M., Stricker, T., Ye, F., Wells, Q., Stevenson, L. W., Michaud, G. F., Darbar, D., Lubitz, S. A., Ellinor, P. T., Roden, D. M., & Shoemaker, M. B. (2021). Early-Onset Atrial Fibrillation and the Prevalence of Rare Variants in Cardiomyopathy and Arrhythmia Genes. JAMA cardiology, 6(12), 1371-1379. https://doi.org/10.1001/jamacardio.2021.3370
Yoneda, Zachary T, et al. "Early-Onset Atrial Fibrillation and the Prevalence of Rare Variants in Cardiomyopathy and Arrhythmia Genes." JAMA cardiology vol. 6,12 (2021): 1371-1379. doi: https://doi.org/10.1001/jamacardio.2021.3370
Yoneda ZT, Anderson KC, Quintana JA, O'Neill MJ, Sims RA, Glazer AM, Shaffer CM, Crawford DM, Stricker T, Ye F, Wells Q, Stevenson LW, Michaud GF, Darbar D, Lubitz SA, Ellinor PT, Roden DM, Shoemaker MB. Early-Onset Atrial Fibrillation and the Prevalence of Rare Variants in Cardiomyopathy and Arrhythmia Genes. JAMA Cardiol. 2021 Dec 01;6(12):1371-1379. doi: 10.1001/jamacardio.2021.3370. PMID: 34495297; PMCID: PMC8427496.
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