Publications by authors named "Redmond P"

Exploring the molecular correlates of metabolic health measures may identify their shared and unique biological processes and pathways. Molecular proxies of these traits may also provide a more objective approach to their measurement. Here, DNA methylation (DNAm) data were used in epigenome-wide association studies (EWASs) and for training epigenetic scores (EpiScores) of six metabolic traits: body mass index (BMI), body fat percentage, waist-hip ratio, and blood-based measures of glucose, high-density lipoprotein cholesterol, and total cholesterol in >17,000 volunteers from the Generation Scotland (GS) cohort.

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Copy-number variants (CNVs) that increase the risk for neurodevelopmental disorders also affect cognitive ability. However, such CNVs remain challenging to study due to their scarcity, limiting our understanding of gene-dosage-sensitive biological processes linked to cognitive ability. We performed a genome-wide association study (GWAS) in 258,292 individuals, which identified-for the first time-a duplication at 2q12.

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A measure of lifetime brain atrophy (LBA) obtained from a single magnetic resonance imaging (MRI) scan could be an attractive candidate to boost statistical power in uncovering novel genetic signals and mechanisms of neurodegeneration. We analysed data from five young and old adult cohorts (MRi-Share, Human Connectome Project, UK Biobank, Generation Scotland Subsample, and Lothian Birth Cohort 1936 [LBC1936]) to test the validity and utility of LBA inferred from cross-sectional MRI data, i.e.

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Background: Antibiotic overuse is associated with antimicrobial resistance (AMR). It is unclear whether community AMR is driven by overall antibiotic use or by high levels of repeated (intense) use by individual patients.

Aim: To determine the association between high antibiotic prescribing intensity (all antibiotic prescriptions; any indication), and rates of UTI resistance among patients within small communities.

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Objectives: To explore the strength of the association between cognitive functioning and depression and anxiety in older people without dementia.

Methods: An exploratory, cross-sectional analysis of Wave 1 (2004-2007) data from the Lothian Birth Cohort 1936 dataset. Three subgroups were based on Hospital Anxiety and Depression Scale (HADS) subscales: no probable anxiety or depression (N = 592), probable anxiety no depression (N = 122), probable depression with/without anxiety (depression) (N = 30).

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Article Synopsis
  • 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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Background And Objectives: The aging population is growing faster than all other demographic strata. With older age comes a greater risk of health conditions such as obesity and high blood pressure (BP). These cardiometabolic risk factors (CMRs) exhibit prominent sex differences in midlife and aging, yet their influence on brain health in females vs males is largely unexplored.

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Background: The coronavirus disease 2019 (COVID-19) pandemic impacted cancer services worldwide. We examined the effect of the first three pandemic waves on the number of electronic (e)-referrals to rapid access clinics (RACs) for breast, lung and prostate cancer in Ireland.

Methods: This study used a retrospective, repeated cross-sectional design.

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Brain-computer interfaces (BCI) have been extensively researched in controlled lab settings where the P300 event-related potential (ERP), elicited in the rapid serial visual presentation (RSVP) paradigm, has shown promising potential. However, deploying BCIs outside of laboratory settings is challenging due to the presence of contaminating artifacts that often occur as a result of activities such as talking, head movements, and body movements. These artifacts can severely contaminate the measured EEG signals and consequently impede detection of the P300 ERP.

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Background: Lung cancer is a significant cause of cancer-related mortality globally, with early detection through screening critical to improving patient outcomes. However, recruiting high-risk individuals, particularly in deprived populations, for screening remains a considerable challenge. This study aims to co-design a targeted recruitment strategy for lung cancer screening, tailored to the specific needs and experiences of high-risk individuals, in collaboration with a Patient and Public Involvement (PPI) panel and expert stakeholders in Ireland.

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Exploring the molecular correlates of metabolic health measures may identify the shared and unique biological processes and pathways that they track. Here, we performed epigenome-wide association studies (EWASs) of six metabolic traits: body mass index (BMI), body fat percentage, waist-hip ratio (WHR), and blood-based measures of glucose, high-density lipoprotein (HDL) cholesterol, and total cholesterol. We considered blood-based DNA methylation (DNAm) from >750,000 CpG sites in over 17,000 volunteers from the Generation Scotland (GS) cohort.

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Introduction: Rare copy number variants (CNVs) and polygenic risk for intelligence (PRS-IQ) both confer susceptibility for autism spectrum disorder (ASD) but have opposing effects on cognitive ability. The field has struggled to disentangle the effects of these two classes of genomic variants on cognitive ability from their effects on ASD susceptibility, in part because previous studies did not include controls with cognitive measures. We aim to investigate the impact of these genomic variants on ASD risk while adjusting for their known effects on cognitive ability.

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Article Synopsis
  • Understanding how antidepressants work at a molecular level can lead to better therapies that people tolerate well.
  • The study analyzed DNA methylation changes linked to antidepressant use across multiple cohorts, using blood samples and data collected between 2006 and 2011.
  • Results showed specific DNA regions with increased methylation in individuals using antidepressants, with findings suggesting connections to brain-related genes and providing insights for further research on treatment effectiveness.
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Background: Epigenetic Scores (EpiScores) for blood protein levels have been associated with disease outcomes and measures of brain health, highlighting their potential usefulness as clinical biomarkers. They are typically derived via penalised regression, whereby a linear weighted sum of DNA methylation (DNAm) levels at CpG sites are predictive of protein levels. Here, we examine 84 previously published protein EpiScores as possible biomarkers of cross-sectional and longitudinal measures of general cognitive function and brain health, and incident dementia across three independent cohorts.

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Gene expression varies across the brain. This spatial patterning denotes specialised support for particular brain functions. However, the way that a given gene's expression fluctuates across the brain may be governed by general rules.

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Article Synopsis
  • A genome-wide association study was conducted on thyroid function, analyzing data from up to 271,040 European individuals, focusing on hormones like TSH, FT4, and T3.
  • The study identified 259 significant genetic associations for TSH (61% were novel), and notable findings for FT4 and T3, indicating that specific genes influence thyroid hormone levels and metabolism.
  • The research findings enhance the understanding of thyroid hormone roles and suggest that variations in thyroid function may impact various health conditions including cardiovascular issues, autoimmune diseases, and cancer.
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Introduction: Currently, no group specifically supports and coordinates primary care focused cancer research in Ireland. The aim of this project is to establish an inclusive stakeholder group for primary care focused cancer research in Ireland, to coordinate research efforts and build capacity in researchers and institutions.

Methods: We will convene a stakeholder group, recruiting individuals with personal and professional experience of cancer care in a community setting.

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Background: Preserved ratio impaired spirometry (PRISm) is defined as a forced expiratory volume in 1 s (FEV) <80% predicted and FEV/forced vital capacity ≥0.70. PRISm is associated with respiratory symptoms and comorbidities.

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Rare copy number variants (CNVs) and polygenic risk for intelligence (PRS-IQ) both confer risk for autism spectrum disorder (ASD) but have opposing effects on cognitive ability. The field has struggled to disentangle the effects of these two classes of genomic variants on cognitive ability from their effects on ASD risk, in part because previous studies did not include controls with cognitive measures. We aim to investigate the impact of these genomic variants on ASD risk while adjusting for their known effects on cognitive ability.

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Identifying circulating proteins associated with cognitive function may point to biomarkers and molecular process of cognitive impairment. Few studies have investigated the association between circulating proteins and cognitive function. We identify 246 protein measures quantified by the SomaScan assay as associated with cognitive function (p < 4.

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