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Abstract 17030: Stress-Related Neurobiological Activity Contributes to the Link Between Cardiovascular Polygenic Risk Score and Myocardial Infarction
Abstract 17030: Stress-Related Neurobiological Activity Contributes to the Link Between Cardiovascular Polygenic Risk Score and Myocardial Infarction
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Abstract 17030: Stress-Related Neurobiological Activity Contributes to the Link Between Cardiovascular Polygenic Risk Score and Myocardial Infarction

Abbasi, Taimur ; Abohashem, Shady ; Dar, Tawseef ; Ghoneem, Ahmed ; Naddaf, Nicki ; Zureigat, Hadil ; Fahed, Akl C ; Aragam, Krishna ; Khera, Amit V ; Osborne, Michael ; Tawakol, Ahmed A

Circulation (New York, N.Y.), 2020-11, Vol.142 (Suppl_3 Suppl 3), p.A17030-A17030 [Periódico revisado por pares]

by the American College of Cardiology Foundation and the American Heart Association, Inc

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2
Abstract 12985: Genetic Susceptibility for Coronary Artery Disease Accentuates the Cardiovascular Disease Risk Associated With Air Pollution
Abstract 12985: Genetic Susceptibility for Coronary Artery Disease Accentuates the Cardiovascular Disease Risk Associated With Air Pollution
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Abstract 12985: Genetic Susceptibility for Coronary Artery Disease Accentuates the Cardiovascular Disease Risk Associated With Air Pollution

Abohashem, Shady ; Abbasi, Taimur ; Atlas, Samantha ; Atlas, Diana ; Zureigat, Hadil ; Gharios, Charbel ; Mezue, Kenechukwu ; Cardeiro, Alexander ; Aragam, Krishna ; Rajagopalan, Sanjay ; Khera, Amit V ; Osborne, Michael T ; Tawakol, Ahmed A

Circulation (New York, N.Y.), 2021-11, Vol.144 (Suppl_1) [Periódico revisado por pares]

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3
Predicting Risk of Hypertension Among Childhood Cancer Survivors: A Polygenic Score to the Rescue?
Predicting Risk of Hypertension Among Childhood Cancer Survivors: A Polygenic Score to the Rescue?
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Predicting Risk of Hypertension Among Childhood Cancer Survivors: A Polygenic Score to the Rescue?

Agrawal, Saaket ; Khera, Amit V.

JACC CardioOncology, 2021-03, Vol.3 (1), p.85-87 [Periódico revisado por pares]

United States: Elsevier Inc

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4
Predicting Risk of Hypertension Among Childhood Cancer Survivors
Predicting Risk of Hypertension Among Childhood Cancer Survivors
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Predicting Risk of Hypertension Among Childhood Cancer Survivors

Agrawal, Saaket ; Khera, Amit V.

JACC CardioOncology, 2021-03, Vol.3 (1), p.85-87 [Periódico revisado por pares]

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5
Abstract 12760: Association of Machine Learning-Derived Measures of Body Fat Distribution in >40,000 Individuals With Cardiometabolic Diseases
Abstract 12760: Association of Machine Learning-Derived Measures of Body Fat Distribution in >40,000 Individuals With Cardiometabolic Diseases
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Abstract 12760: Association of Machine Learning-Derived Measures of Body Fat Distribution in >40,000 Individuals With Cardiometabolic Diseases

Agrawal, Saaket ; Klarqvist, Marcus D ; Diamant, Nathaniel ; Ellinor, Patrick T ; Mehta, Nehal N ; Philippakis, Anthony ; Ng, Kenney ; Batra, Puneet ; Khera, Amit V

Circulation (New York, N.Y.), 2021-11, Vol.144 (Suppl_1) [Periódico revisado por pares]

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6
BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases
BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases
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BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases

Agrawal, Saaket ; Klarqvist, Marcus D R ; Diamant, Nathaniel ; Stanley, Takara L ; Ellinor, Patrick T ; Mehta, Nehal N ; Philippakis, Anthony ; Ng, Kenney ; Claussnitzer, Melina ; Grinspoon, Steven K ; Batra, Puneet ; Khera, Amit V

Nature communications, 2023-01, Vol.14 (1), p.266-266, Article 266 [Periódico revisado por pares]

England: Nature Publishing Group

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7
Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction
Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction
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Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction

Agrawal, Saaket ; Klarqvist, Marcus D.R. ; Emdin, Connor ; Patel, Aniruddh P. ; Paranjpe, Manish D. ; Ellinor, Patrick T. ; Philippakis, Anthony ; Ng, Kenney ; Batra, Puneet ; Khera, Amit V.

Patterns (New York, N.Y.), 2021-12, Vol.2 (12), p.100364-100364, Article 100364 [Periódico revisado por pares]

United States: Elsevier Inc

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8
Relationship of fat mass ratio - a biomarker for lipodystrophy - with cardiometabolic traits
Relationship of fat mass ratio - a biomarker for lipodystrophy - with cardiometabolic traits
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Relationship of fat mass ratio - a biomarker for lipodystrophy - with cardiometabolic traits

Agrawal, Saaket ; Luan, Jian'an ; Cummings, Beryl B ; Weiss, Ethan ; Wareham, Nick J ; Khera, Amit V

Diabetes (New York, N.Y.), 2024-07, Vol.73 (7), p.1099-1111 [Periódico revisado por pares]

United States: American Diabetes Association

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9
Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots
Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots
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Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots

Agrawal, Saaket ; Wang, Minxian ; Klarqvist, Marcus D R ; Smith, Kirk ; Shin, Joseph ; Dashti, Hesam ; Diamant, Nathaniel ; Choi, Seung Hoan ; Jurgens, Sean J ; Ellinor, Patrick T ; Philippakis, Anthony ; Claussnitzer, Melina ; Ng, Kenney ; Udler, Miriam S ; Batra, Puneet ; Khera, Amit V

Nature communications, 2022-06, Vol.13 (1), p.3771-3771, Article 3771 [Periódico revisado por pares]

England: Nature Publishing Group

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10
Su1521 PNPLA3 RISK VARIANT DISPROPORTIONATELY AMPLIFIES THE RISK OF ADVANCED FIBROSIS IN WOMEN IN A DIVERSE, PROSPECTIVE COHORT WITH TYPE 2 DIABETES
Su1521 PNPLA3 RISK VARIANT DISPROPORTIONATELY AMPLIFIES THE RISK OF ADVANCED FIBROSIS IN WOMEN IN A DIVERSE, PROSPECTIVE COHORT WITH TYPE 2 DIABETES
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Su1521 PNPLA3 RISK VARIANT DISPROPORTIONATELY AMPLIFIES THE RISK OF ADVANCED FIBROSIS IN WOMEN IN A DIVERSE, PROSPECTIVE COHORT WITH TYPE 2 DIABETES

Ajmera, Veeral H. ; Agrawal, Saaket ; Bridi, Lana ; Madamba, Egbert ; Khera, Amit V. ; Loomba, Rohit

Gastroenterology (New York, N.Y. 1943), 2024-05, Vol.166 (5), p.S-1623-S-1623 [Periódico revisado por pares]

Elsevier Inc

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