Publications by authors named "Helen Warren"

Article Synopsis
  • Statins are key medications used to prevent cardiovascular disease by not only lowering lipids but also reducing inflammation, measured by C-reactive protein (CRP).
  • Two significant genetic loci linked to how individuals respond to statin treatment in terms of changes in CRP levels were identified: APOE and HNF1A, both of which are associated with various health conditions like coronary artery disease and diabetes.
  • Further analysis suggests that the APOE-E4 variant may influence the effectiveness of statins, hinting at its potential role in personalized healthcare for those with cardiovascular and related conditions.
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Background: Coronary angioplasty and stent insertion is a first line treatment for patients with coronary artery disease, however it is complicated in the long-term by in-stent restenosis (ISR) in a proportion of patients with an associated morbidity. Despite this, currently there are no effective treatments available for the prevention of ISR. Repeat percutaneous revascularisation carries increased risks of major adverse cardiovascular events and a higher incidence of stent failure.

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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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This study addresses the effect of using animal excreta on the nutritional content of forages, focusing on macro- and micro-element concentrations (nitrogen; N, phosphorus; P, sulphur; S, copper; Cu, zinc; Zn, manganese; Mn, selenium; Se) from animal feed to excreta, soil, and plants. Data were collected from pot and field trials using separate applications of sheep or cattle urine and faeces. Key findings indicate that soil organic carbon (SOC) and the type of excreta significantly influences nutrient uptake by forages, with varied responses among the seven elements defined above.

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Article Synopsis
  • * 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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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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Sex differences in blood pressure are well-established, with premenopausal women having lower blood pressure than men by ~10 millimeters of mercury; however, the underlying mechanisms are not fully understood. We report here that sex differences in blood pressure are absent in olfactory receptor 558 knockout (KO) mice. localizes to renin-positive cells in the kidney and to vascular smooth muscle cells.

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Article Synopsis
  • - 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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  • Somatic mutations are common in patients with unexplained low blood cell counts (CCUS) and are linked to a higher risk of blood cancers and lower survival rates.
  • This study analyzed a large group of CCUS patients over several years to understand their outcomes, using samples from a clinical diagnostic lab in the UK.
  • Out of 2,083 eligible patients, 400 were confirmed with CCUS, with the most frequently mutated genes being TET2, SRSF2, and DNMT3A.
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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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Background: Cytochrome P450 family 2 subfamily C member 19 (CYP2C19) is a hepatic enzyme involved in the metabolism of clopidogrel from a prodrug to its active metabolite. Prior studies of genetic polymorphisms in and their relationship with clinical efficacy have not included South Asian populations.

Objectives: The objective of this study was to assess prevalence of common genotype polymorphisms in a British-South Asian population and correlate these with recurrent myocardial infarction risk in participants prescribed clopidogrel.

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Background And Aims: The intake of selenium, an essential element for animals and humans, in ruminants is largely determined by selenium concentration in ingested forages, which take up selenium mainly from soil. Ruminant excreta is a common source of organic fertilizer, which provides both nutrients and organic matter. This study aims to unentangle the unclear effect of applying different types of ruminant excreta in soils of different organic matter contents on selenium uptake by forage.

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Article Synopsis
  • * Findings highlight important pathways connected to heart development, muscle contraction, and overall heart health related to these angles.
  • * The research also shows genetic links between QRS-T angles and various heart conditions like atrial fibrillation and blockages, suggesting potential areas for future research and risk assessments in cardiovascular health.
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Background: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery.

Results: To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches.

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  • Common SNPs may account for 40-50% of human height variation, and this study identifies 12,111 SNPs linked to height from a large sample of 5.4 million individuals.
  • These SNPs cluster in 7,209 genomic segments, encompassing about 21% of the genome and showing varying densities enriched in relevant genes.
  • While these SNPs explain a substantial portion of height variance in European populations (40-45%), their predictive power is lower (10-24%) in other ancestries, suggesting a need for more research to enhance understanding in diverse populations.
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  • The QT interval is a key measure in electrocardiograms that indicates the timing of heart muscle contractions and recoveries; abnormalities can lead to serious heart conditions.
  • A study involving over 250,000 individuals identified many genetic loci linked to various heart rhythm measures, revealing important genetic factors associated with QT, JT, and QRS intervals.
  • The findings suggest that certain gene variations could inform new treatments for arrhythmias and highlight genetic pathways involved in heart function and energy metabolism.
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  • Researchers studied the genetic connections to blood fats using data from 1.6 million people from different backgrounds to understand why certain fats are higher or lower in the body.
  • They looked at special genes and how they interact in the liver and fat cells, finding that the liver plays a big part in controlling fat levels.
  • Two specific genes, CREBRF and RRBP1, were highlighted as important in understanding how our bodies manage fats due to strong supporting evidence.
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Background: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.

Methods: We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.

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Mitochondria are implicated in the pathogenesis of cardiovascular diseases (CVDs) but the reasons for this are not well understood. Maternally-inherited population variants of mitochondrial DNA (mtDNA) which affect all mtDNA molecules (homoplasmic) are associated with cardiometabolic traits and the risk of developing cardiovascular disease. However, it is not known whether mtDNA mutations only affecting a proportion of mtDNA molecules (heteroplasmic) also play a role.

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The pharmacogenetic effect on cardiovascular disease reduction in response to statin treatment has only been assessed in small studies. In a pharmacogenetic genome wide association study (GWAS) analysis within the Genomic Investigation of Statin Therapy (GIST) consortium, we investigated whether genetic variation was associated with the response of statins on cardiovascular disease risk reduction. The investigated endpoint was incident myocardial infarction (MI) defined as coronary heart disease death and definite and suspect non-fatal MI.

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Increased blood lipid levels are heritable risk factors of cardiovascular disease with varied prevalence worldwide owing to different dietary patterns and medication use. Despite advances in prevention and treatment, in particular through reducing low-density lipoprotein cholesterol levels, heart disease remains the leading cause of death worldwide. Genome-wideassociation studies (GWAS) of blood lipid levels have led to important biological and clinical insights, as well as new drug targets, for cardiovascular disease.

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We sought to identify genome-wide variants influencing antihypertensive drug response and adverse cardiovascular outcomes, utilizing data from four randomized controlled trials in the International Consortium for Antihypertensive Pharmacogenomics Studies (ICAPS). Genome-wide antihypertensive drug-single nucleotide polymorphism (SNP) interaction tests for four drug classes (β-blockers, n = 9,195; calcium channel blockers (CCBs), n = 10,511; thiazide/thiazide-like diuretics, n = 3,516; ACE-inhibitors/ARBs, n = 2,559) and cardiovascular outcomes (incident myocardial infarction, stroke, or death) were analyzed among patients with hypertension of European ancestry. Top SNPs from the meta-analyses were tested for replication of cardiovascular outcomes in an independent Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) study (n = 21,267), blood pressure (BP) response in independent ICAPS studies (n = 1,552), and ethnic validation in African Americans from the Genetics of Hypertension Associated Treatment study (GenHAT; n = 5,115).

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Article Synopsis
  • Scientists studied people's genetics to learn about traits related to blood sugar, which helps diagnose and monitor type 2 diabetes.
  • Most of the earlier studies only looked at people with European backgrounds, but this research included many more individuals from different backgrounds, finding 242 important genetic spots linked to blood sugar levels.
  • By studying a diverse group of people, they discovered new insights about how diabetes works in the body, helping to uncover different biological processes for each glycemic trait.
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