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3. Whole Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized with Early-Onset Myocardial Infarction

Author

Khera, Amit V, Chaffin, Mark, Zekavat, Seyedeh M, Collins, Ryan L, Roselli, Carolina, Natarajan, Pradeep, Lichtman, Judith H, D'Onofrio, Gail, Mattera, Jennifer, Dreyer, Rachel, Spertus, John A, Taylor, Kent D, Psaty, Bruce M, Rich, Stephen S, Post, Wendy, Gupta, Namrata, Gabriel, Stacey, Lander, Eric, Ida Chen, Yii-Der, Talkowski, Michael E, Rotter, Jerome I, Krumholz, Harlan M, and Kathiresan, Sekar

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Health Sciences, Clinical Sciences, Sports Science and Exercise, Genetics, Clinical Research, Atherosclerosis, Human Genome, Prevention, Digestive Diseases, Heart Disease, Heart Disease - Coronary Heart Disease, Cardiovascular, 2.1 Biological and endogenous factors, Aetiology, Aged, Cholesterol, LDL, Female, Genetic Predisposition to Disease, Genome, Human, Humans, Hyperlipoproteinemia Type II, Male, Middle Aged, Multifactorial Inheritance, Myocardial Infarction, Whole Genome Sequencing, genetics, humans, hypercholesterolemia, myocardial infarction, risk, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences, Sports science and exercise
Abstract

BackgroundThe relative prevalence and clinical importance of monogenic mutations related to familial hypercholesterolemia and of high polygenic score (cumulative impact of many common variants) pathways for early-onset myocardial infarction remain uncertain. Whole-genome sequencing enables simultaneous ascertainment of both monogenic mutations and polygenic score for each individual.MethodsWe performed deep-coverage whole-genome sequencing of 2081 patients from 4 racial subgroups hospitalized in the United States with early-onset myocardial infarction (age ≤55 years) recruited with a 2:1 female-to-male enrollment design. We compared these genomes with those of 3761 population-based control subjects. We first identified individuals with a rare, monogenic mutation related to familial hypercholesterolemia. Second, we calculated a recently developed polygenic score of 6.6 million common DNA variants to quantify the cumulative susceptibility conferred by common variants. We defined high polygenic score as the top 5% of the control distribution because this cutoff has previously been shown to confer similar risk to that of familial hypercholesterolemia mutations.ResultsThe mean age of the 2081 patients presenting with early-onset myocardial infarction was 48 years, and 66% were female. A familial hypercholesterolemia mutation was present in 36 of these patients (1.7%) and was associated with a 3.8-fold (95% CI, 2.1-6.8; P3-fold increased odds of early-onset myocardial infarction. However, high polygenic score has a 10-fold higher prevalence among patients presents with early-onset myocardial infarction.Clinical trial registrationURL: https://www.clinicaltrials.gov . Unique identifier: NCT00597922.

Published
2019

4. In defense of Direct Care: Limiting access to military hospitals could worsen quality and safety

Author

Zogg, Cheryl K., Lichtman, Judith H., Dalton, Michael K., Learn, Peter A., Schoenfeld, Andrew J., Koehlmoos, Tracey Perez, Weissman, Joel S., and Cooper, Zara

Subjects
United States. Department of Defense -- Powers and duties, Hospitals, Military -- Powers and duties, Health care reform -- Forecasts and trends, Medical care -- Quality management, Market trend/market analysis, Business, Health care industry
Abstract

Objective: Ongoing health care reforms within the US Military Health System (MHS) are expected to shift >1.9 million MHS beneficiaries from military treatment facilities (MTFs) into local civilian hospitals over the next 1-2 years. The objective of this study was to examine how such health care reforms are likely to affect the quality of MHS care. Data sources: Adult MHS beneficiaries, aged 18-64 years, treated in MTFs (under a program known as Direct Care) were compared against (1) MHS beneficiaries treated in locally available civilian hospitals (under a program known as Purchased Care) and (2) similarly-aged adult civilian patients across the United States. MHS beneficiaries in Direct and Purchased Care were identified from fiscal-year 2016-2018 MHS inpatient claims. National inpatients were identified in the 2017 Nationwide Readmissions Database. Study design: Retrospective cohort. Data collection: Differences in quality were compared using two sets of quality metrics endorsed by the US Agency for Healthcare Research and Quality (AHRQ): Inpatient Quality Indicators, 19 quality metrics that look at differences in in-hospital mortality, and Patient Safety Indicators, 18 quality metrics that look at differences in in-hospital morbidity and adverse events. Among MHS beneficiaries (Direct and Purchased Care), we further simulated what changes in quality indicators might look like under various proposed scenarios of reduced access to Direct Care. Principal findings: A total of 502,252 MHS admissions from 37 MTFs and surrounding civilian hospitals were included (326,076 Direct Care, 179,176 Purchased Care). Nationwide, 9.34 million adult admissions from 2453 hospitals were included. On average, MHS beneficiaries treated in MTFs experienced better inpatient quality and improved patient safety compared with MHS beneficiaries treated in locally available civilian hospitals (e.g., summary observed-to-expected ratio for medical mortality: 0.98 vs. 1.03, p < 0.001) and adult patients across the United States (0.98 vs. 1.02, p < 0.001). Simulations of proposed changes resulted in consistently worse outcomes for MHS patients, whether reducing MTF access by 10%, 20%, or 50% nationwide; limiting MTF access to active-duty beneficiaries; or closing MTFs with the worst performance on patient safety (p < 0.001 for overall quality indicators for each). Conclusions: Reducing access to MTFs could result in significant harm to MHS patients. The results underscore the importance of health-policy planning based on evidence-based evaluation and the need to consider the consequential downstream effects caused by changes in access to care. KEYWORDS access to care, health care reform, military, Military Health System, MTF Realignment, patient safety, quality, TRICARE What is known on this topic * The US Military Health System (MHS) has long served as a proving ground for theories about the importance of access to care. * In October 2019, major health care reforms within the MHS led to a substantial restructuring of MHS beneficiaries' access to military treatment facilities. What this study adds * Ongoing MHS health care reforms could lead to marked changes in AHRQ-endorsed quality metrics for inpatient quality (Inpatient Quality Indicators) and patient safety (Patient Safety Indicators), resulting in significantly worse care for MHS beneficiaries. * The results underscore the importance of health-policy planning based on evidence-based evaluation and need to consider the consequential downstream effects caused by changes in access to care., 1 | INTRODUCTION As one of the largest health systems in the United States and the single largest provider of government-sponsored universal health insurance coverage for adults aged Since the [...]

Published
2022
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6. Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease

Author

Emdin, Connor A, Khera, Amit V, Chaffin, Mark, Klarin, Derek, Natarajan, Pradeep, Aragam, Krishna, Haas, Mary, Bick, Alexander, Zekavat, Seyedeh M, Nomura, Akihiro, Ardissino, Diego, Wilson, James G, Schunkert, Heribert, McPherson, Ruth, Watkins, Hugh, Elosua, Roberto, Bown, Matthew J, Samani, Nilesh J, Baber, Usman, Erdmann, Jeanette, Gupta, Namrata, Danesh, John, Chasman, Daniel, Ridker, Paul, Denny, Joshua, Bastarache, Lisa, Lichtman, Judith H, D’Onofrio, Gail, Mattera, Jennifer, Spertus, John A, Sheu, Wayne H-H, Taylor, Kent D, Psaty, Bruce M, Rich, Stephen S, Post, Wendy, Rotter, Jerome I, Chen, Yii-Der Ida, Krumholz, Harlan, Saleheen, Danish, Gabriel, Stacey, and Kathiresan, Sekar

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Heart Disease - Coronary Heart Disease, Heart Disease, Biotechnology, Obesity, Cardiovascular, Human Genome, Atherosclerosis, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Good Health and Well Being, Databases, Genetic, Diabetes Mellitus, Type 2, Disease, Gene Frequency, Genetic Testing, Genetic Variation, Humans, Phenotype, Proteins, Respiratory Hypersensitivity, United Kingdom
Abstract

Less than 3% of protein-coding genetic variants are predicted to result in loss of protein function through the introduction of a stop codon, frameshift, or the disruption of an essential splice site; however, such predicted loss-of-function (pLOF) variants provide insight into effector transcript and direction of biological effect. In >400,000 UK Biobank participants, we conduct association analyses of 3759 pLOF variants with six metabolic traits, six cardiometabolic diseases, and twelve additional diseases. We identified 18 new low-frequency or rare (allele frequency

Published
2018

10. Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction

Author

Zhu, Cenjing, primary, Dreyer, Rachel P., additional, Li, Fan, additional, Spatz, Erica S., additional, Caraballo, César, additional, Mahajan, Shiwani, additional, Raparelli, Valeria, additional, Leifheit, Erica C., additional, Lu, Yuan, additional, Krumholz, Harlan M., additional, Spertus, John A., additional, D’Onofrio, Gail, additional, Pilote, Louise, additional, and Lichtman, Judith H., additional

Published
2024
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11. Heart Disease and Stroke Statistics—2016 Update

Author

Mozaffarian, Dariush, Benjamin, Emelia J, Go, Alan S, Arnett, Donna K, Blaha, Michael J, Cushman, Mary, Das, Sandeep R, de Ferranti, Sarah, Després, Jean-Pierre, Fullerton, Heather J, Howard, Virginia J, Huffman, Mark D, Isasi, Carmen R, Jiménez, Monik C, Judd, Suzanne E, Kissela, Brett M, Lichtman, Judith H, Lisabeth, Lynda D, Liu, Simin, Mackey, Rachel H, Magid, David J, McGuire, Darren K, Mohler, Emile R, Moy, Claudia S, Muntner, Paul, Mussolino, Michael E, Nasir, Khurram, Neumar, Robert W, Nichol, Graham, Palaniappan, Latha, Pandey, Dilip K, Reeves, Mathew J, Rodriguez, Carlos J, Rosamond, Wayne, Sorlie, Paul D, Stein, Joel, Towfighi, Amytis, Turan, Tanya N, Virani, Salim S, Woo, Daniel, Yeh, Robert W, and Turner, Melanie B

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Health Sciences, Clinical Sciences, Sports Science and Exercise, American Heart Association, Data Interpretation, Statistical, Heart Diseases, Humans, Life Style, Research Report, Stroke, United States, AHA Scientific Statements, cardiovascular diseases, epidemiology, risk factors, statistics, stroke, Writing Group Members, American Heart Association Statistics Committee, Stroke Statistics Subcommittee, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences, Sports science and exercise
Published
2016

12. Executive Summary

Author

Mozaffarian, Dariush, Benjamin, Emelia J, Go, Alan S, Arnett, Donna K, Blaha, Michael J, Cushman, Mary, Das, Sandeep R, de Ferranti, Sarah, Després, Jean-Pierre, Fullerton, Heather J, Howard, Virginia J, Huffman, Mark D, Isasi, Carmen R, Jiménez, Monik C, Judd, Suzanne E, Kissela, Brett M, Lichtman, Judith H, Lisabeth, Lynda D, Liu, Simin, Mackey, Rachel H, Magid, David J, McGuire, Darren K, Mohler, Emile R, Moy, Claudia S, Muntner, Paul, Mussolino, Michael E, Nasir, Khurram, Neumar, Robert W, Nichol, Graham, Palaniappan, Latha, Pandey, Dilip K, Reeves, Mathew J, Rodriguez, Carlos J, Rosamond, Wayne, Sorlie, Paul D, Stein, Joel, Towfighi, Amytis, Turan, Tanya N, Virani, Salim S, Woo, Daniel, Yeh, Robert W, and Turner, Melanie B

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Health Sciences, Clinical Sciences, Sports Science and Exercise, American Heart Association, Data Interpretation, Statistical, Health Behavior, Heart Diseases, Humans, Research Report, Stroke, United States, AHA Scientific Statements, cardiovascular diseases, epidemiology, risk factors, statistics, stroke, Writing Group Members, American Heart Association Statistics Committee, Stroke Statistics Subcommittee, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences, Sports science and exercise
Published
2016

13. Executive Summary: Heart Disease and Stroke Statistics--2016 Update: A Report From the American Heart Association.

Author

Writing Group Members, Mozaffarian, Dariush, Benjamin, Emelia J, Go, Alan S, Arnett, Donna K, Blaha, Michael J, Cushman, Mary, Das, Sandeep R, de Ferranti, Sarah, Després, Jean-Pierre, Fullerton, Heather J, Howard, Virginia J, Huffman, Mark D, Isasi, Carmen R, Jiménez, Monik C, Judd, Suzanne E, Kissela, Brett M, Lichtman, Judith H, Lisabeth, Lynda D, Liu, Simin, Mackey, Rachel H, Magid, David J, McGuire, Darren K, Mohler, Emile R, Moy, Claudia S, Muntner, Paul, Mussolino, Michael E, Nasir, Khurram, Neumar, Robert W, Nichol, Graham, Palaniappan, Latha, Pandey, Dilip K, Reeves, Mathew J, Rodriguez, Carlos J, Rosamond, Wayne, Sorlie, Paul D, Stein, Joel, Towfighi, Amytis, Turan, Tanya N, Virani, Salim S, Woo, Daniel, Yeh, Robert W, Turner, Melanie B, American Heart Association Statistics Committee, and Stroke Statistics Subcommittee

Subjects
Writing Group Members, American Heart Association Statistics Committee, Stroke Statistics Subcommittee, Humans, Heart Diseases, Data Interpretation, Statistical, Health Behavior, American Heart Association, United States, Stroke, Research Report, AHA Scientific Statements, cardiovascular diseases, epidemiology, risk factors, statistics, stroke, Data Interpretation, Statistical, Clinical Sciences, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology
Published
2016

14. Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association.

Author

Writing Group Members, Mozaffarian, Dariush, Benjamin, Emelia J, Go, Alan S, Arnett, Donna K, Blaha, Michael J, Cushman, Mary, Das, Sandeep R, de Ferranti, Sarah, Després, Jean-Pierre, Fullerton, Heather J, Howard, Virginia J, Huffman, Mark D, Isasi, Carmen R, Jiménez, Monik C, Judd, Suzanne E, Kissela, Brett M, Lichtman, Judith H, Lisabeth, Lynda D, Liu, Simin, Mackey, Rachel H, Magid, David J, McGuire, Darren K, Mohler, Emile R, Moy, Claudia S, Muntner, Paul, Mussolino, Michael E, Nasir, Khurram, Neumar, Robert W, Nichol, Graham, Palaniappan, Latha, Pandey, Dilip K, Reeves, Mathew J, Rodriguez, Carlos J, Rosamond, Wayne, Sorlie, Paul D, Stein, Joel, Towfighi, Amytis, Turan, Tanya N, Virani, Salim S, Woo, Daniel, Yeh, Robert W, Turner, Melanie B, American Heart Association Statistics Committee, and Stroke Statistics Subcommittee

Subjects
Writing Group Members, American Heart Association Statistics Committee, Stroke Statistics Subcommittee, Humans, Heart Diseases, Data Interpretation, Statistical, Life Style, American Heart Association, United States, Stroke, Research Report, AHA Scientific Statements, cardiovascular diseases, epidemiology, risk factors, statistics, stroke, Data Interpretation, Statistical, Clinical Sciences, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology
Published
2016

17. Executive Summary

Author

Mozaffarian, Dariush, Benjamin, Emelia J, Go, Alan S, Arnett, Donna K, Blaha, Michael J, Cushman, Mary, de Ferranti, Sarah, Després, Jean-Pierre, Fullerton, Heather J, Howard, Virginia J, Huffman, Mark D, Judd, Suzanne E, Kissela, Brett M, Lackland, Daniel T, Lichtman, Judith H, Lisabeth, Lynda D, Liu, Simin, Mackey, Rachel H, Matchar, David B, McGuire, Darren K, Mohler, Emile R, Moy, Claudia S, Muntner, Paul, Mussolino, Michael E, Nasir, Khurram, Neumar, Robert W, Nichol, Graham, Palaniappan, Latha, Pandey, Dilip K, Reeves, Mathew J, Rodriguez, Carlos J, Sorlie, Paul D, Stein, Joel, Towfighi, Amytis, Turan, Tanya N, Virani, Salim S, Willey, Joshua Z, Woo, Daniel, Yeh, Robert W, and Turner, Melanie B

Subjects
Cardiorespiratory Medicine and Haematology, Clinical Sciences, Public Health and Health Services, Cardiovascular System & Hematology
Published
2015

18. Executive Summary: Heart Disease and Stroke Statistics-2015 Update A Report From the American Heart Association

Author

Mozaffarian, Dariush, Benjamin, Emelia J, Go, Alan S, Arnett, Donna K, Blaha, Michael J, Cushman, Mary, de Ferranti, Sarah, Despres, Jean-Pierre, Fullerton, Heather J, Howard, Virginia J, Huffman, Mark D, Judd, Suzanne E, Kissela, Brett M, Lackland, Daniel T, Lichtman, Judith H, Lisabeth, Lynda D, Liu, Simin, Mackey, Rachel H, Matchar, David B, McGuire, Darren K, III, Mohler Emile R, Moy, Claudia S, Muntner, Paul, Mussolino, Michael E, Nasir, Khurram, Neumar, Robert W, Nichol, Graham, Palaniappan, Latha, Pandey, Dilip K, Reeves, Mathew J, Rodriguez, Carlos J, Sorlie, Paul D, Stein, Joel, Towfighi, Amytis, Turan, Tanya N, Virani, Salim S, Willey, Joshua Z, Woo, Daniel, Yeh, Robert W, Turner, Melanie B, Comm, Amer Heart Assoc Stat, and Subcomm, Stroke Stat

Subjects
Clinical Sciences, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology
Published
2015

19. Heart disease and stroke statistics--2015 update: a report from the American Heart Association.

Author

Mozaffarian, Dariush, Benjamin, Emelia J, Go, Alan S, Arnett, Donna K, Blaha, Michael J, Cushman, Mary, de Ferranti, Sarah, Després, Jean-Pierre, Fullerton, Heather J, Howard, Virginia J, Huffman, Mark D, Judd, Suzanne E, Kissela, Brett M, Lackland, Daniel T, Lichtman, Judith H, Lisabeth, Lynda D, Liu, Simin, Mackey, Rachel H, Matchar, David B, McGuire, Darren K, Mohler, Emile R, Moy, Claudia S, Muntner, Paul, Mussolino, Michael E, Nasir, Khurram, Neumar, Robert W, Nichol, Graham, Palaniappan, Latha, Pandey, Dilip K, Reeves, Mathew J, Rodriguez, Carlos J, Sorlie, Paul D, Stein, Joel, Towfighi, Amytis, Turan, Tanya N, Virani, Salim S, Willey, Joshua Z, Woo, Daniel, Yeh, Robert W, Turner, Melanie B, and American Heart Association Statistics Committee and Stroke Statistics Subcommittee

Subjects
American Heart Association Statistics Committee and Stroke Statistics Subcommittee, Humans, Heart Diseases, Risk Reduction Behavior, American Heart Association, United States, Stroke, Research Report, AHA Scientific Statements, cardiovascular diseases, epidemiology, risk factors, statistics, stroke, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Public Health and Health Services, Cardiovascular System & Hematology
Published
2015

25. Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction

Author

Zhu, Cenjing, primary, Dreyer, Rachel P., additional, Li, Fan, additional, Spatz, Erica S., additional, Caraballo‐Cordovez, César, additional, Mahajan, Shiwani, additional, Raparelli, Valeria, additional, Leifheit, Erica C., additional, Lu, Yuan, additional, Krumholz, Harlan M., additional, Spertus, John A., additional, D'Onofrio, Gail, additional, Pilote, Louise, additional, and Lichtman, Judith H., additional

Published
2023
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29. Comparison of Electrocardiographic Characteristics in Men Versus Women ≤ 55 Years With Acute Myocardial Infarction (a Variation in Recovery: Role of Gender on Outcomes of Young Acute Myocardial Infarction Patients Substudy)

Author

Barrabés, José A., Gupta, Aakriti, Porta-Sánchez, Andreu, Strait, Kelly M., Acosta-Vélez, J. Gabriel, D'Onofrio, Gail, Lidón, Rosa-Maria, Geda, Mary, Dreyer, Rachel P., Lorenze, Nancy P., Lichtman, Judith H., Spertus, John A., Bueno, Héctor, and Krumholz, Harlan M.

Published
2017
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30. Association of Marital/Partner Status with Hospital Readmission Among Young Adults With Acute Myocardial Infarction

Author

Zhu, Cenjing, primary, Dreyer, Rachel P, additional, Li, Fan, additional, Spatz, Erica S, additional, Caraballo, César, additional, Mahajan, Shiwani, additional, Raparelli, Valeria, additional, Leifheit, Erica C, additional, Lu, Yuan, additional, Krumholz, Harlan M, additional, Spertus, John A, additional, D’Onofrio, Gail, additional, Pilote, Louise, additional, and Lichtman, Judith H, additional

Published
2023
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31. Sex Difference in Outcomes of Acute Myocardial Infarction in Young Patients

Author

Sawano, Mitsuaki, primary, Lu, Yuan, additional, Caraballo, César, additional, Mahajan, Shiwani, additional, Dreyer, Rachel, additional, Lichtman, Judith H., additional, D’Onofrio, Gail, additional, Spatz, Erica, additional, Khera, Rohan, additional, Onuma, Oyere, additional, Murugiah, Karthik, additional, Spertus, John A., additional, and Krumholz, Harlan M., additional

Published
2023
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32. Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association

Author

Virani, Salim S., Alonso, Alvaro, Benjamin, Emelia J., Bittencourt, Marcio S., Callaway, Clifton W., Carson, April P., Chamberlain, Alanna M., Chang, Alexander R., Cheng, Susan, Delling, Francesca N., Djousse, Luc, Elkind, Mitchell S.V., Ferguson, Jane F., Fornage, Myriam, Khan, Sadiya S., Kissela, Brett M., Knutson, Kristen L., Kwan, Tak W., Lackland, Daniel T., Lewis, Tené T., Lichtman, Judith H., Longenecker, Chris T., Loop, Matthew Shane, Lutsey, Pamela L., Martin, Seth S., Matsushita, Kunihiro, Moran, Andrew E., Mussolino, Michael E., Perak, Amanda Marma, Rosamond, Wayne D., Roth, Gregory A., Sampson, Uchechukwu K.A., Satou, Gary M., Schroeder, Emily B., Shah, Svati H., Shay, Christina M., Spartano, Nicole L., Stokes, Andrew, Tirschwell, David L., VanWagner, Lisa B., and Tsao, Connie W.

Published
2020
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33. Higher burden of cardiometabolic and socioeconomic risk factors in women with type 2 diabetes: an analysis of the Glycemic Reduction Approaches in Diabetes (GRADE) baseline cohort

Author

Gulanski, Barbara I, primary, Butera, Nicole M, additional, Krause-Steinrauf, Heidi, additional, Lichtman, Judith H, additional, Harindhanavudhi, Tasma, additional, Green, Jennifer B, additional, Suratt, Colleen E, additional, AbouAssi, Hiba, additional, Desouza, Cyrus, additional, Ahmann, Andrew J, additional, Wexler, Deborah J, additional, and Aroda, Vanita R, additional

Published
2023
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34. SEX DIFFERENCE IN CAUSES AND TIMING OF ONE-YEAR OUTCOMES AMONG YOUNG ACUTE MYOCARDIAL INFARCTION PATIENTS; RESULTS FROM THE VIRGO STUDY

Author

Sawano, Mitsuaki, primary, Lu, Yuan, additional, Caraballo, Cesar, additional, Mahajan, Shiwani, additional, Dreyer, Rachel P., additional, Lichtman, Judith H., additional, D'Onofrio, Gail, additional, Spatz, Erica Sarah, additional, Khera, Rohan, additional, Onuma, Oyere, additional, Murugiah, Karthik, additional, Spertus, John A., additional, and Krumholz, Harlan M., additional

Published
2023
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36. Abstract P405: Low Social Support Mediates the Effect of Marital Stress on 12-month Cardiac-Specific Quality of Life in Young Adults With Acute Myocardial Infarction

Author

Zhu, Cenjing, primary, Dreyer, Rachel P, additional, Li, Fan, additional, Spatz, Erica S, additional, Caraballo, Cesar, additional, Mahajan, Shiwani, additional, Raparelli, Valeria, additional, Leifheit, Erica C, additional, Lu, Yuan, additional, Krumholz, Harlan M, additional, Spertus, John, additional, DONOFRIO, Gail, additional, Pilote, Louise, additional, and Lichtman, Judith H, additional

Published
2023
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37. Association of Sociodemographic Characteristics With 1-Year Hospital Readmission Among Adults Aged 18 to 55 Years With Acute Myocardial Infarction

Author

Okafor, Chinenye M., primary, Zhu, Cenjing, additional, Raparelli, Valeria, additional, Murphy, Terrence E., additional, Arakaki, Andrew, additional, D’Onofrio, Gail, additional, Tsang, Sui W., additional, Smith, Marcella Nunez, additional, Lichtman, Judith H., additional, Spertus, John A., additional, Pilote, Louise, additional, and Dreyer, Rachel P., additional

Published
2023
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43. Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

Author

Benjamin, Emelia J., Muntner, Paul, Alonso, Alvaro, Bittencourt, Marcio S., Callaway, Clifton W., Carson, April P., Chamberlain, Alanna M., Chang, Alexander R., Cheng, Susan, Das, Sandeep R., Delling, Francesca N., Djousse, Luc, Elkind, Mitchell S.V., Ferguson, Jane F., Fornage, Myriam, Jordan, Lori Chaffin, Khan, Sadiya S., Kissela, Brett M., Knutson, Kristen L., Kwan, Tak W., Lackland, Daniel T., Lewis, Tené T., Lichtman, Judith H., Longenecker, Chris T., Loop, Matthew Shane, Lutsey, Pamela L., Martin, Seth S., Matsushita, Kunihiro, Moran, Andrew E., Mussolino, Michael E., O’Flaherty, Martin, Pandey, Ambarish, Perak, Amanda M., Rosamond, Wayne D., Roth, Gregory A., Sampson, Uchechukwu K.A., Satou, Gary M., Schroeder, Emily B., Shah, Svati H., Spartano, Nicole L., Stokes, Andrew, Tirschwell, David L., Tsao, Connie W., Turakhia, Mintu P., VanWagner, Lisa B., Wilkins, John T., Wong, Sally S., and Virani, Salim S.

Published
2019
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49. Additional file 1 of Systematically identifying genetic signatures including novel SNP-clusters, nonsense variants, frame-shift INDELs, and long STR expansions that potentially link to unknown phenotypes existing in dog breeds

Author

Li, Zicheng, Wang, Zuoheng, Chen, Zhiyuan, Voegeli, Heidi, Lichtman, Judith H., Smith, Peter, Liu, Ju, DeWan, Andrew T., and Hoh, Josephine

Abstract

Additional file 1: Fig S1. The number of the nonsense genetic signatures (GS) for each breed. The y-axis represents the number of nonsense variants in GS represented by dots. The x-axis corresponds to each of the 76 breeds in the alphabetical order. Fig S2. Histogram showing the breed sample size distribution. The histogram showed the sample size within each valid breed enrolled in the GS discovery process. The minimal breed sample size was capped at three as shown in the histogram. Fig S3. Phylogenetic tree showing the breed membership of samples in the collection. Each sample was colored based on its breed label. Samples from the same breed were marked with the same color. a) Tree A includes 451 pure-bred dogs from 97 breeds in the collection. b) Tree B includes 412 pure-bred dogs from 76 valid breeds after removing potential wrongfully labeled samples. Fig S4. Pairwise genetic signature sharing between all 76 breeds. The 76 by 76 grid plot indicates the genome-wide GS sharing for all breed-pairs. The upper triangular part shows the standardized GS sharing score (See Methods). All scores were scaled between 0 and 1 with the darkest grid representing the highest GS sharing between Shetland sheepdog and Collie. The lower triangular part shows the absolute number of GS discovered across the genome. Similarly, the darker grid color indicates larger number of GS shared between two breeds. Fig S5. General pipeline of the population-frequency based variant analyzing tool. The flowchart showing the general workflow of the population frequency. Fig S6. Performance benchmark of the variant analyzing tool. a) Line plot showing the real-world run-time of using this tool to discover GS, BSGS and breed-pair unique shared GS in the dataset of 412 samples, when different number of CPUs were provided. b) The relative per-CPU efficiency for each of the three analyses when different number of CPUs were provided.

Published
2023
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