Publications by authors named "Scott M Damrauer"

Polygenic risk scores (PRS) have predominantly been derived from genome-wide association studies (GWAS) conducted in European ancestry (EUR) individuals. In this study, we present an in-depth evaluation of PRS based on multi-ancestry GWAS for five cardiometabolic phenotypes in the Penn Medicine BioBank (PMBB) followed by a phenome-wide association study (PheWAS). We examine the PRS performance across all individuals and separately in African ancestry (AFR) and EUR ancestry groups.

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Heart failure (HF) is one of the most common, complex, heterogeneous diseases in the world, with over 1-3% of the global population living with the condition. Progression of HF can be tracked via MRI measures of structural and functional changes to the heart, namely left ventricle (LV), including ejection fraction, mass, end-diastolic volume, and LV end-systolic volume. Moreover, while genome-wide association studies (GWAS) have been a useful tool to identify candidate variants involved in HF risk, they lack crucial tissue-specific and mechanistic information which can be gained from incorporating additional data modalities.

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Despite being a common urologic disorder with potentially complicated sequela, the genetic background of adult hydrocele has not previously been described. We performed a multi-population genome-wide association study of 363,460 men in the United Kingdom BioBank and FinnGen cohorts. We identified 6,548 adult men with hydrocele.

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Importance: Polygenic risk scores (PRSs) for coronary heart disease (CHD) are a growing clinical and commercial reality. Whether existing scores provide similar individual-level assessments of disease susceptibility remains incompletely characterized.

Objective: To characterize the individual-level agreement of CHD PRSs that perform similarly at the population level.

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  • The study investigates the role of BAG3 genetic variants in heritable dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM), focusing on how these variants contribute to the variability in disease expression and severity.
  • Conducted at the University of Pennsylvania Health System, the research included a large cohort of patients, using whole-exome sequencing linked to electronic health records to analyze associations between BAG3 variants and clinical traits.
  • Results indicated that the common C151R BAG3 variant is linked to a lower risk of DCM but an increased risk of HCM, with carriers showing better long-term health outcomes compared to noncarriers.
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Background: Veterans are disproportionately more likely to experience homelessness and unstable housing (HUH) compared with the general population. Cardiovascular disease is the leading cause of death among Veterans experiencing HUH. We aimed to understand whether HUH status among Veterans with preexisting cardiovascular disease was associated with disparities in cardiovascular care access and utilization.

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  • - Genetic studies have linked numerous plasma proteins to abdominal aortic aneurysm (AAA), a serious vascular disease, but their causal effects were not well-explored prior to this research.
  • - The study used two-sample Mendelian randomization (MR) on a massive dataset, analyzing 39,221 individuals with AAA and 1,086,107 without to identify 90 plasma proteins potentially impacting AAA, with 25 showing strong support from further analysis.
  • - Notable proteins like PCSK9, LTBP4, and COL6A3 were found to be associated with AAA, and gene ontology analyses revealed their roles in the extracellular matrix, suggesting a significant biological connection between these proteins and AAA risk.
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  • This study identifies and characterizes rare coding alleles linked to genetic dyslipidemia, a major risk factor for coronary artery disease, using data from over 1.1 million individuals across various ancestries.
  • It discovered 800 significant variants across 209 genes, with a notable focus on non-European populations, and included a diverse cohort of participants to enhance genetic understanding.
  • The findings highlight potential therapeutic targets, particularly new genes that may help lower LDL cholesterol levels, providing valuable insights for future genetic disease research and drug development.
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Background: Ascending thoracic aortic dilation is a complex heritable trait that involves modifiable and nonmodifiable risk factors. Polygenic scores (PGS) are increasingly used to assess risk for complex diseases. The degree to which a PGS can improve aortic diameter prediction in diverse populations is unknown.

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Introduction: Lipoprotein(a) (Lp(a)) is a circulating apolipoprotein B (ApoB) containing particle that has been observationally linked to atherosclerotic cardiovascular disease and is the target of emerging therapeutics. Recent work has highlighted the role of circulating lipoproteins in abdominal aortic aneurysm (AAA). We sought to triangulate human observational and genetic evidence to evaluate the role of Lp(a) in AAA.

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BACKGROUNDTwo coding alleles within the APOL1 gene, G1 and G2, found almost exclusively in individuals genetically similar to West African populations, contribute substantially to the pathogenesis of chronic kidney disease (CKD). The APOL gene cluster on chromosome 22 contains a total of 6 APOL genes that have arisen as a result of gene duplication.METHODSUsing a genome-first approach in the Penn Medicine BioBank, we identified 62 protein-altering variants in the 6 APOL genes with a minor allele frequency of >0.

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  • * The study combines transcriptome-wide (TWAS) and proteome-wide (PWAS) analyses with MRI data to better understand the genetic factors influencing HF risk, revealing connections between genes, proteins, and heart measurements.
  • * Findings suggest pathways linked to HF are shared across various heart function metrics, showcasing the advantages of multi-omics approaches to gain deeper insights into the disease's underlying mechanisms.
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Importance: Polygenic risk scores (PRSs) for coronary artery disease (CAD) are a growing clinical and commercial reality. Whether existing scores provide similar individual-level assessments of disease liability is a critical consideration for clinical implementation that remains uncharacterized.

Objective: Characterize the reliability of CAD PRSs that perform equivalently at the population level at predicting individual-level risk.

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An inverse correlation between stature and risk of coronary artery disease (CAD) has been observed in several epidemiologic studies, and recent Mendelian randomization (MR) experiments have suggested causal association. However, the extent to which the effect estimated by MR can be explained by cardiovascular, anthropometric, lung function, and lifestyle-related risk factors is unclear, with a recent report suggesting that lung function traits could fully explain the height-CAD effect. To clarify this relationship, we utilized a well-powered set of genetic instruments for human stature, comprising >1,800 genetic variants for height and CAD.

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  • Pilonidal sinus disease is a condition causing chronic sinus tracts in the sacrococcygeal area, with potential genetic links that haven't been previously studied.
  • The research involved a genome-wide association study with 772,072 participants to identify genetic factors related to the disease, revealing significant associations with multiple genes linked to hair characteristics and patterns.
  • Results indicated that certain genetic variants, particularly those tied to hair disorders, could increase the likelihood of developing pilonidal sinus disease, highlighting the potential influence of hair-related genetics on this condition.*
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  • Venous thromboembolism (VTE) poses significant health risks, with a notable difference in incidence rates between Black and White Americans.
  • Researchers developed polygenic risk scores (PRSs) for VTE using data from both European and African-ancestry populations to enhance predictive capability.
  • Results showed that multi-ancestry PRSs slightly outperformed ancestry-specific ones in predicting VTE risk, indicating potential benefits in using diverse data for better risk assessment across populations.
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The expansion of biobanks has significantly propelled genomic discoveries yet the sheer scale of data within these repositories poses formidable computational hurdles, particularly in handling extensive matrix operations required by prevailing statistical frameworks. In this work, we introduce computational optimizations to the SAIGE (Scalable and Accurate Implementation of Generalized Mixed Model) algorithm, notably employing a GPU-based distributed computing approach to tackle these challenges. We applied these optimizations to conduct a large-scale genome-wide association study (GWAS) across 2,068 phenotypes derived from electronic health records of 635,969 diverse participants from the Veterans Affairs (VA) Million Veteran Program (MVP).

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  • Coronary artery calcification (CAC) is linked to heart disease and assessed through a genome-wide association study (GWAS) involving 22,400 participants from various backgrounds.
  • The study confirmed connections with four known genetic loci and discovered two new loci related to CAC, with supportive replication findings for both.
  • Functional tests suggest that ARSE promotes calcification in vascular smooth muscle cells and its variants may influence CAC levels, identifying ARSE as a key target for potential treatments in vascular calcific diseases.
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  • The study investigates the genetic basis of supraventricular tachycardias, focusing on atrioventricular nodal reentrant tachycardia (AVNRT) and atrioventricular accessory pathways/reciprocating tachycardia (AVAP/AVRT).
  • Through multiancestry meta-analyses of genome-wide association studies, researchers identified significant genetic loci associated with AVNRT and AVAP/AVRT, implicating specific genes in these cardiac conditions.
  • The results suggest that gene regions related to ion channels and cardiac development play crucial roles in susceptibility to supraventricular tachycardias, potentially influencing other cardiovascular issues such as atrial fibrillation
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  • The study aimed to find genetic risk factors for cardiovascular disease (CVD) in individuals with type 2 diabetes (T2D) through a genome-wide association approach.
  • Out of 49,230 T2D participants, 8,956 experienced incident CVD events, revealing three new genetic loci associated with increased CVD risk and confirming five known coronary artery disease variants.
  • The findings suggest both novel and established genetic factors contribute to CVD risk in T2D patients, highlighting the importance of genetic screening in this population.
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Background: The extent and consequences of ischemia in patients with chronic limb-threatening ischemia (CLTI) may change rapidly, and delays from diagnosis to revascularization may worsen outcomes. We sought to describe the association between time from diagnosis to endovascular lower extremity revascularization (diagnosis-to-limb revascularization [D2L] time) and clinical outcomes in outpatients with CLTI.

Methods And Results: In the CLIPPER cohort, comprising patients between 66 and 86 years old diagnosed with CLTI betweeen 2010 and 2019, we used Medicare claims data to identify patients who underwent outpatient endovascular revascularization within 180 days of diagnosis.

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Background: Hundreds of biomarkers for peripheral artery disease (PAD) have been reported in the literature; however, the observational nature of these studies limits causal inference due to the potential of reverse causality and residual confounding. We sought to evaluate the potential causal impact of putative PAD biomarkers identified in human observational studies through genetic causal inference methods.

Methods: Putative circulating PAD biomarkers were identified from human observational studies through a comprehensive literature search based on terms related to PAD using PubMed, Cochrane, and Embase.

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Background: This systematic review aims to identify genetic and biologic markers associated with abdominal hernia formation.

Methods: Following PRIMSA-guidelines, we searched PubMed, MEDLINE, Embase, Scopus, and COCHRANE databases.

Results: Of 5946 studies, 65 were selected, excluding parastomal hernias due to insufficient data.

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