Publications by authors named "Juan P Casas"

Background: Individuals who have experienced a stroke, or transient ischemic attack, face a heightened risk of future cardiovascular events. Identification of genetic and molecular risk factors for subsequent cardiovascular outcomes may identify effective therapeutic targets to improve prognosis after an incident stroke.

Methods: We performed genome-wide association studies for subsequent major adverse cardiovascular events (MACE; n=51 929; n=39 980) and subsequent arterial ischemic stroke (AIS; n=45 120; n=46 789) after the first incident stroke within the Million Veteran Program and UK Biobank.

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Article Synopsis
  • Human genetic studies often lack diversity, which limits understanding of disease causes and health disparities.
  • The Department of Veterans Affairs Million Veteran Program analyzed data from a diverse group of 635,969 veterans, revealing 13,672 genomic risk loci, with significant findings particularly from non-European populations.
  • The research identified causal variants across 613 traits, showing that genetic similarities exist across populations and emphasizing the importance of including underrepresented groups in genetic research.
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Background: Observational studies have reported strongly protective effects of bariatric surgery on cardiovascular disease, but with oversimplified definitions of the intervention, eligibility criteria, and follow-up, which deviate from those in a randomized trial. We describe an attempt to estimate the effect of bariatric surgery on cardiovascular disease without introducing these sources of bias, which may not be entirely possible with existing observational data.

Methods: We propose two target trials among persons with diabetes: (1) bariatric operation (vs.

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  • The Veterans Health Administration's Office of Research and Development played a crucial role in addressing COVID-19 by using existing resources and infrastructure to support research efforts.
  • The Million Veteran Program created a COVID-19 research volunteer registry, facilitating participation in vaccine and treatment trials, and helped identify genetic factors that influence COVID-19 severity.
  • The VA's established research framework enabled swift recruitment and data utilization, highlighting the need for centralized resources in future public health emergencies.
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Background: Observational studies are used for estimating vaccine effectiveness under real-world conditions. The practical performance of two common approaches-cohort and test-negative designs-need to be compared for COVID-19 vaccines.

Methods: We compared the cohort and test-negative designs to estimate the effectiveness of the BNT162b2 vaccine against COVID-19 outcomes using nationwide data from the United States Department of Veterans Affairs.

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We conduct a large-scale meta-analysis of heart failure genome-wide association studies (GWAS) consisting of over 90,000 heart failure cases and more than 1 million control individuals of European ancestry to uncover novel genetic determinants for heart failure. Using the GWAS results and blood protein quantitative loci, we perform Mendelian randomization and colocalization analyses on human proteins to provide putative causal evidence for the role of druggable proteins in the genesis of heart failure. We identify 39 genome-wide significant heart failure risk variants, of which 18 are previously unreported.

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Genome-wide association studies (GWAS) have underrepresented individuals from non-European populations, impeding progress in characterizing the genetic architecture and consequences of health and disease traits. To address this, we present a population-stratified phenome-wide GWAS followed by a multi-population meta-analysis for 2,068 traits derived from electronic health records of 635,969 participants in the Million Veteran Program (MVP), a longitudinal cohort study of diverse U.S.

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  • The study analyzes whether genome-wide polygenic risk scores (PRSs) for coronary artery disease (CAD) and acute ischemic stroke can enhance risk prediction for atherosclerotic cardiovascular disease (ASCVD) in a diverse midlife population.
  • Conducted using data from the Million Veteran Program, the research involved 79,151 participants who were free of ASCVD at the start of the study, examining various traditional clinical risk factors alongside genetic data over an average follow-up of 4.3 years.
  • Results indicated that CAD PRS had a significant association with nonfatal myocardial infarction among non-Hispanic Black individuals, along with recorded cases of ischemic strokes, ASCVD deaths, and composite ASCVD events throughout the
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The development of phenotypes using electronic health records is a resource-intensive process. Therefore, the cataloging of phenotype algorithm metadata for reuse is critical to accelerate clinical research. The Department of Veterans Affairs (VA) has developed a standard for phenotype metadata collection which is currently used in the VA phenomics knowledgebase library, CIPHER (Centralized Interactive Phenomics Resource), to capture over 5000 phenotypes.

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To quantify the association between maternal uric acid levels and pre-eclampsia risk in a large collection of primigravid women. A case-control study (1365 cases of pre-eclampsia and 1886 normotensive controls) was conducted. Pre-eclampsia was defined as blood pressure ≥ 140/90 mmHg and proteinuria ≥ 300 mg/24 h.

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Vaccination against SARS-CoV-2 has been effective in reducing the burden of severe disease and death from COVID-19. Third doses of mRNA-based vaccines have provided a way to address waning immunity and broaden protection against emerging SARS-CoV-2 variants. However, their comparative effectiveness for a range of COVID-19 outcomes across diverse populations is unknown.

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Pharmacologic clinical trials for heart failure with preserved ejection fraction have been largely unsuccessful as compared to those for heart failure with reduced ejection fraction. Whether differences in the genetic underpinnings of these major heart failure subtypes may provide insights into the disparate outcomes of clinical trials remains unknown. We utilize a large, uniformly phenotyped, single cohort of heart failure sub-classified into heart failure with reduced and with preserved ejection fractions based on current clinical definitions, to conduct detailed genetic analyses of the two heart failure sub-types.

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Background: End-stage renal disease is associated with a high risk of cardiovascular events. It is unknown, however, whether mild-to-moderate kidney dysfunction is causally related to coronary heart disease (CHD) and stroke.

Methods: Observational analyses were conducted using individual-level data from 4 population data sources (Emerging Risk Factors Collaboration, EPIC-CVD [European Prospective Investigation into Cancer and Nutrition-Cardiovascular Disease Study], Million Veteran Program, and UK Biobank), comprising 648 135 participants with no history of cardiovascular disease or diabetes at baseline, yielding 42 858 and 15 693 incident CHD and stroke events, respectively, during 6.

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Article Synopsis
  • - Chronic Chagas Cardiomyopathy (CCC) develops years after parasitic infection and is a major cause of heart failure in Latin America, yet only a small percentage of infected individuals develop the disease.
  • - A genome-wide association study (GWAS) identified a new susceptibility locus (rs34238187) linked to CCC in Brazilian populations, with significant associations to various immune-related traits.
  • - The findings suggest that this genetic locus plays a role in modifying the immune response to the T. cruzi parasite, highlighting the need for further research into its functional character and impact on CCC risk.
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Understanding the genetic relationships between human disorders could lead to better treatment and prevention strategies, especially for individuals with multiple comorbidities. A common resource for studying genetic-disease relationships is the GWAS Catalog, a large and well curated repository of SNP-trait associations from various studies and populations. Some of these populations are contained within mega-biobanks such as the Million Veteran Program (MVP), which has enabled the genetic classification of several diseases in a large well-characterized and heterogeneous population.

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Objective: To compare the risk of coronavirus disease 2019 (COVID-19) outcomes by antiretroviral therapy (ART) regimens among men with HIV.

Design: We included men with HIV on ART in the Veterans Aging Cohort Study who, between February 2020 and October 2021, were 18 years or older and had adequate virological control, CD4 + cell count, and HIV viral load measured in the previous 12 months, and no previous COVID-19 diagnosis or vaccination.

Methods: We compared the adjusted risks of documented severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, COVID-19-related hospitalization, and intensive care unit (ICU) admission by baseline ART regimen: tenofovir alafenamide (TAF)/emtricitabine (FTC), tenofovir disoproxil fumarate (TDF)/FTC, abacavir (ABC)/lamivudine (3TC), and other.

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Importance: The risk of adverse events has been found to be low for participants receiving the BNT162b2 (Pfizer-BioNTech) and mRNA-1273 (Moderna Inc) vaccines in randomized trials. However, a head-to-head comparison of their safety for a broader range of potential adverse events over longer follow-up and in larger and more diverse populations is lacking, to our knowledge.

Objective: To compare the head-to-head safety in terms of risk of adverse events of the BNT162b2 and mRNA-1273 vaccines in the national health care databases of the US Department of Veterans Affairs, the largest integrated health care system in the US.

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  • A study involving over 94,000 COVID-19 cases developed an algorithm to connect COVID-19 severity with long-term health complications like stroke, heart attacks, and death.* -
  • It found that the risk of these complications is higher for patients with severe COVID-19, especially within the first 120 days after infection, with most issues occurring within the first two months.* -
  • The research highlights the importance of understanding how COVID-19 severity affects long-term health, which can help in planning prevention and treatment strategies.*
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The study aims to determine the shared genetic architecture between COVID-19 severity with existing medical conditions using electronic health record (EHR) data. We conducted a Phenome-Wide Association Study (PheWAS) of genetic variants associated with critical illness (n = 35) or hospitalization (n = 42) due to severe COVID-19 using genome-wide association summary data from the Host Genetics Initiative. PheWAS analysis was performed using genotype-phenotype data from the Veterans Affairs Million Veteran Program (MVP).

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Background: In response to the novel Coronavirus Disease 2019 (COVID-19) pandemic, the Department of Veterans Affairs (VA) Million Veteran Program (MVP) organized efforts to better understand the impact of COVID-19 on Veterans by developing and deploying a self-reported survey.

Methods: The MVP COVID-19 Survey was developed to collect COVID-19 specific elements including symptoms, diagnosis, hospitalization, behavioral and psychosocial factors and to augment existing MVP data with longitudinal collection of key domains in physical and mental health. Due to the rapidly evolving nature of the pandemic, a multipronged strategy was implemented to widely disseminate the COVID-19 Survey and capture data using both the online platform and mailings.

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Importance: Coronavirus disease 2019 (COVID-19) confers significant risk of acute kidney injury (AKI). Patients with COVID-19 with AKI have high mortality rates.

Objective: Individuals with African ancestry with 2 copies of apolipoprotein L1 (APOL1) variants G1 or G2 (high-risk group) have significantly increased rates of kidney disease.

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Background: The messenger RNA (mRNA)-based vaccines BNT162b2 and mRNA-1273 are more than 90% effective against coronavirus disease 2019 (Covid-19). However, their comparative effectiveness for a range of outcomes across diverse populations is unknown.

Methods: We emulated a target trial using the electronic health records of U.

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Last decades, a broad spectrum of inhaled devices (ID) had been developed to enhance efficacy and reduce adverse events. The correct use of IDs is a critical issue for controlling obstructive respiratory diseases. There is no recommendation on inhalation therapy in Argentina.

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The study aims to determine the shared genetic architecture between COVID-19 severity with existing medical conditions using electronic health record (EHR) data. We conducted a Phenome-Wide Association Study (PheWAS) of genetic variants associated with critical illness (n=35) or hospitalization (n=42) due to severe COVID-19 using genome-wide association summary from the Host Genetics Initiative. PheWAS analysis was performed using genotype-phenotype data from the Veterans Affairs Million Veteran Program (MVP).

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