Publications by authors named "Patricia Munroe"

Background: Deterioration of the cardiac conduction system is an important manifestation of cardiac ageing. Cellular ageing is accompanied by telomere shortening and telomere length (TL) is often regarded as a marker of biological ageing, potentially adding information regarding conduction disease over and above chronological age. We therefore sought to evaluate the association between leucocyte telomere length (LTL) on two related, but distinct aspects of the cardiac conduction system: ECG measures of conduction (PR interval and QRS duration) and incident pacemaker implantation in a large population-based cohort.

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Background: Atrial fibrillation (AF) prediction improves by combining clinical scores with a polygenic risk score (PRS) for AF (AF-PRS), but there are limited studies of PRS for ventricular arrhythmia (VA) prediction.

Objective: We assessed the value of including multiple PRS for cardiovascular risk factors (CV-PRS) for incident AF and VA prediction.

Methods: We used 158,733 individuals of European ancestry from UK Biobank to build 3 models for AF: CHARGE-AF (AF1), AF1 + AF-PRS (AF2), AF2 + CV-PRS (AF3).

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  • This study investigates heart shape variation beyond just mass and volume, using data from 45,683 UK Biobank participants to create a heart shape atlas via cardiovascular magnetic resonance images.
  • Researchers found 43 significant genetic loci associated with heart shape, including 14 that were previously unknown, showing a link between heart shape and cardiometabolic diseases.
  • Specifically, two shapes tied to more spherical ventricles were linked to a higher risk of atrial fibrillation, contributing new insights into the genetic foundations of heart shape and its impact on health.
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Precision medicine, which among other aspects includes an individual's genomic data in diagnosis and management, has become the standard-of-care for Mendelian cardiovascular disease (CVD). However, early identification and management of asymptomatic patients with potentially lethal and manageable Mendelian CVD through screening, which is the promise of precision health, remains an unsolved challenge. The reduced costs of genomic sequencing have enabled the creation of biobanks containing in-depth genetic and health information, which have facilitated the understanding of genetic variation, penetrance, and expressivity, moving us closer to the genotype-first screening of asymptomatic individuals for Mendelian CVD.

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  • Clinicians lack data science training, which is essential in today's data-driven healthcare environment, prompting the need for structured education in this area.
  • A 1-day course was conducted with 20 participants, mostly cardiology trainees, combining lectures and hands-on coding exercises in R; feedback showed improved confidence in data analysis skills.
  • Results indicate that such short courses can significantly boost clinicians' abilities and awareness in data science, suggesting a pathway for integrating these skills into medical education.
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Background: Periodontal disease is the sixth most common disease worldwide and may be a contributory risk factor for cardiovascular disease (CVD).

Objectives: This study utilizes noninvasive cardiac imaging and longitudinal and genetic data to characterize the association between periodontal disease and both cardiovascular magnetic resonance (CMR) imaging biomarkers of remodeling and incident coronary artery disease (CAD).

Methods: From the UK Biobank, 481,915 individuals were included, 91,022 (18.

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  • * We found 17 genetic loci associated with sleep duration impacting lipid levels, with 10 of them being newly identified and linked to sleep-related disturbances in lipid metabolism.
  • * The research points to potential drug targets that could lead to new treatments for lipid-related issues in individuals with sleep problems, highlighting the connection between sleep patterns and cardiovascular health.
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  • Genome-wide association studies have found numerous genetic loci linked to glycemic traits, but connecting these loci to specific genes and biological pathways remains a challenge.
  • Researchers conducted meta-analyses of exome-array studies across four glycemic traits, analyzing data from over 144,000 participants, which led to the identification of coding variant associations in more than 60 genes.
  • The study revealed significant pathways related to insulin secretion, zinc transport, and fatty acid metabolism, enhancing understanding of glycemic regulation and making data available for further research.
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  • The study investigates the relationship between serum calcium levels and ventricular repolarization time, specifically the QT and JT intervals, which are important for heart health.
  • Researchers conducted large-scale genome-wide analyses to explore potential interactions between calcium levels and genetic variants associated with QT and JT intervals, using over 122,000 participants.
  • The results showed limited evidence for the hypothesized calcium interaction effects, suggesting that other factors, such as rare genetic variations or environmental influences, likely play a larger role in the unexplained heritability of QT and JT intervals.
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  • * Conducted with data from the UK Biobank, which included extensive genetic, electrocardiogram, and imaging data from nearly 470,000 participants, the study found that 0.1% carried likely pathogenic TTR variants.
  • * Results showed a significant difference in variant prevalence based on ancestry, with a 0.02% prevalence in individuals of European ancestry versus 4.3% in those of African ancestry, highlighting the need for more targeted research and awareness.
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Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes.

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An elevated resting heart rate (RHR) is associated with increased cardiovascular mortality. Genome-wide association studies (GWAS) have identified > 350 loci. Uniquely, in this study we applied genetic fine-mapping leveraging tissue specific chromatin segmentation and colocalization analyses to identify causal variants and candidate effector genes for RHR.

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Resistance to inhibitors of cholinesterases (ric-8 proteins) are involved in modulating G-protein function, but little is known of their potential physiological importance in the heart. In the present study, we assessed the role of resistance to inhibitors of cholinesterase 8b (Ric-8b) in determining cardiac contractile function. We developed a murine model in which it was possible to conditionally delete ric-8b in cardiac tissue in the adult animal after the addition of tamoxifen.

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Individual sensitivity to environmental exposures may be genetically influenced. This genotype-by-environment interplay implies differences in phenotypic variance across genotypes. However, environmental sensitivity genetic variants have proven challenging to detect.

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The leucine-rich repeat-containing G-protein-coupled receptor 6 (LGR6) was recently identified as the cognate receptor for the proresolving mediator maresin 1 (MaR1). To address the biological role of LGR6 in humans, we investigated the functional impact of a genetic variant in the gene encoding for LGR6, which is predicted to lead to a frameshift mutation in one of the receptor isoforms, on both receptor expression and immune cell responses. In neutrophils, monocytes, and natural killer (NK) cells from volunteers homozygous for this variant, we found a significant downregulation in the expression of LGR6 when compared with controls without the variant; whereas the LGR6 expression was essentially similar in monocyte-derived macrophages and CD8+ T cells.

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  • * The research showed that individuals with high polygenic risk scores have significantly higher blood pressure (almost 17 mmHg more) and over seven times the risk of developing hypertension compared to those with low scores.
  • * Incorporating these genetic risk scores into hypertension prediction models improved their accuracy, and excitingly, similar genetic associations were found in a large African-American sample, underscoring the potential of these findings for precision health initiatives.
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Metabolomic age models have been proposed for the study of biological aging, however, they have not been widely validated. We aimed to assess the performance of newly developed and existing nuclear magnetic resonance spectroscopy (NMR) metabolomic age models for prediction of chronological age (CA), mortality, and age-related disease. Ninety-eight metabolic variables were measured in blood from nine UK and Finnish cohort studies (N ≈31,000 individuals, age range 24-86 years).

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Variability in quantitative traits has clinical, ecological, and evolutionary significance. Most genetic variants identified for complex quantitative traits have only a detectable effect on the mean of trait. We have developed the mean-variance test (MVtest) to simultaneously model the mean and log-variance of a quantitative trait as functions of genotypes and covariates by using estimating equations.

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  • Scientists are using data from electronic health records, biobanks, and wearable devices to study health, especially the heart.
  • They created a new method called M-REGLE to better understand how our genes affect heart health by looking at different types of health data together.
  • M-REGLE is really good at finding more genetic clues related to heart problems than older methods that only looked at one type of data at a time.
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Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to genes involved in neurological, thyroidal, bone metabolism, and hematopoietic pathways.

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  • - The study investigates how the DASH diet score influences systolic blood pressure (BP) in relation to genetic factors, analyzing data from over 127,000 participants from different population groups, primarily European.
  • - Researchers identified several genetic loci associated with interactions between an individual's genetics and their response to the DASH diet, particularly focusing on the variant rs117878928 at chromosomal location 15q25.1.
  • - Results suggest significant gene-DASH diet interactions affecting systolic BP, highlighting the need for further research in larger, more diverse populations to confirm these findings.
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  • Educational attainment is linked to cardiovascular health, and a large genomic study examined how it interacts with cholesterol and triglyceride levels in nearly 226,315 individuals across five population groups.
  • The study identified 18 new genetic variations related to lipid levels—nine for low-density lipoprotein (LDL), seven for high-density lipoprotein (HDL), and two for triglycerides (TG)—some of which interact with educational attainment.
  • Researchers also found five gene targets that potentially interact with FDA-approved drugs, suggesting a connection between genetics and drug responses related to lipid metabolism and overall health.
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  • The study investigated how genetic variations (genotype) interact with dietary habits (specifically the DASH diet score) to influence systolic blood pressure (SBP).
  • Researchers analyzed a massive dataset of genetic information from over 127,000 individuals to identify specific genetic locations (loci) that may play a role in this interaction.
  • They found significant genetic interactions with the DASH diet score, especially at a specific gene location (rs117878928), indicating that diet can affect blood pressure differently based on an individual's genetic makeup, which highlights the need for further research with more diverse populations.
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Metabolomic age models have been proposed for the study of biological aging, however they have not been widely validated. We aimed to assess the performance of newly developed and existing nuclear magnetic resonance spectroscopy (NMR) metabolomic age models for prediction of chronological age (CA), mortality, and age-related disease. 98 metabolic variables were measured in blood from nine UK and Finnish cohort studies (N ≈ 31,000 individuals, age range 24-86 years).

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