Publications by authors named "Andrew Bretherick"

Choosing optimal outcome measures maximizes statistical power, accelerates discovery and improves reliability in early-phase trials. We devised and evaluated a modification to a pragmatic measure of oxygenation function, the [Formula: see text] ratio. Because of the ceiling effect in oxyhaemoglobin saturation, [Formula: see text] ratio ceases to reflect pulmonary oxygenation function at high [Formula: see text] values.

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Background: People with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) experience core symptoms of post-exertional malaise, unrefreshing sleep, and cognitive impairment. Despite numbering 0.2-0.

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Critical illness in COVID-19 is an extreme and clinically homogeneous disease phenotype that we have previously shown to be highly efficient for discovery of genetic associations. Despite the advanced stage of illness at presentation, we have shown that host genetics in patients who are critically ill with COVID-19 can identify immunomodulatory therapies with strong beneficial effects in this group. Here we analyse 24,202 cases of COVID-19 with critical illness comprising a combination of microarray genotype and whole-genome sequencing data from cases of critical illness in the international GenOMICC (11,440 cases) study, combined with other studies recruiting hospitalized patients with a strong focus on severe and critical disease: ISARIC4C (676 cases) and the SCOURGE consortium (5,934 cases).

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Article Synopsis
  • SARS-CoV-2 uses the ACE2 protein to enter human cells, making ACE2 crucial for COVID-19 infection and treatment; its levels vary significantly across different individuals but are not fully understood genetically.
  • In a large study involving over 28,000 individuals, researchers found genetic factors influencing plasma ACE2 levels and discovered 10 genetic loci linked to ACE2, explaining 30% of its heritability.
  • The study also indicated that higher ACE2 levels are causally associated with increased severity of COVID-19, hospitalization, and risk of infection, along with genetic links to vascular diseases and other complex health conditions.
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  • Critical COVID-19 is linked to immune system damage in the lungs, showing that genetics play a key role in severe cases requiring hospitalization.
  • The GenOMICC study analyzes the genomes of 7,491 critically ill patients against 48,400 controls, uncovering 23 genetic variants that increase the risk for severe COVID-19, including new associations related to immune response and blood type.
  • The findings suggest that both viral replication and heightened lung inflammation contribute to critically ill cases, highlighting potential genetic targets for new treatments.
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  • Parent-of-origin effects (POE) influence complex diseases, and it's crucial to examine how both genetic and environmental factors can modify these effects and their associated variations.
  • The study screened 101 factors to assess their impact on POE regulation using data from a large Scottish health study, ultimately identifying three specific CpGs that can be modified by certain exposures.
  • The findings highlight how lifestyle choices and specific gene expressions can alter DNA methylation processes, paving the way for further research into how these modifiers contribute to the understanding of complex diseases.
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Background And Aims: Genome-wide association studies (GWAS) have identified several risk loci for gallstone disease. As with most polygenic traits, it is likely that many genetic determinants are undiscovered. The aim of this study was to identify genetic variants that represent new targets for gallstone research and treatment.

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Genome-wide association studies (GWAS) have identified several risk loci for nonalcoholic fatty liver disease (NAFLD). Previous studies have largely relied on small sample sizes and have assessed quantitative traits. We performed a case-control GWAS in the UK Biobank using recorded diagnosis of NAFLD based on diagnostic codes recommended in recent consensus guidelines.

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  • The study examines how genetic factors influence DNA methylation (DNAm), which is crucial for understanding gene regulation and diseases, using data from 32,851 participants.
  • Researchers identified genetic variants linked to DNAm at over 420,000 sites and created a database of more than 270,000 independent mQTLs, highlighting the complexity and polygenic nature of DNAm levels.
  • The findings suggest that while some shared genetic variants are linked to both DNAm and complex diseases, only a few cases indicate a direct causal relationship, revealing a complicated connection between genetics and phenotypes.
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Background: It is unclear if smoking-related DNA methylation represents a causal pathway between smoking and risk of lung cancer. We sought to identify novel smoking-related DNA methylation sites in blood, with repeated measurements, and to appraise the putative role of DNA methylation in the pathway between smoking and lung cancer development.

Methods: We derived a nested case-control study from the Trøndelag Health Study (HUNT), including 140 incident patients who developed lung cancer during 2009-13 and 140 controls.

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Background: The apolipoprotein E (APOE) ε4 allele is the strongest genetic risk factor for late onset Alzheimer's disease, whilst the ε2 allele confers protection. Previous studies report differential DNA methylation of APOE between ε4 and ε2 carriers, but associations with epigenome-wide methylation have not previously been characterised.

Methods: Using the EPIC array, we investigated epigenome-wide differences in whole blood DNA methylation patterns between Alzheimer's disease-free APOE ε4 (n = 2469) and ε2 (n = 1118) carriers from the two largest single-cohort DNA methylation samples profiled to date.

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Host-mediated lung inflammation is present, and drives mortality, in the critical illness caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with critical illness may identify mechanistic targets for therapeutic development. Here we report the results of the GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2,244 critically ill patients with COVID-19 from 208 UK intensive care units.

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  • Circulating proteins play a key role in human health and are used as biomarkers for disease and drug targets; this study maps protein quantitative trait loci (pQTLs) for 90 cardiovascular proteins in over 30,000 people, discovering 451 pQTLs for 85 proteins.
  • The researchers verified their findings with mouse studies and clinical trials, establishing the regulatory roles of certain genes on these proteins.
  • They also identified 11 proteins with potential causal links to diseases, suggesting new drug targets and opportunities for repositioning existing drugs, thus enhancing the understanding of the genetics of proteins in relation to health.
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Introduction: Dementia pathogenesis begins years before clinical symptom onset, necessitating the understanding of premorbid risk mechanisms. Here we investigated potential pathogenic mechanisms by assessing DNA methylation associations with dementia risk factors in Alzheimer's disease (AD)-free participants.

Methods: Associations between dementia risk measures (family history, AD genetic risk score [GRS], and dementia risk scores [combining lifestyle, demographic, and genetic factors]) and whole-blood DNA methylation were assessed in discovery and replication samples (n = ~400 to ~5000) from Generation Scotland.

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To efficiently transform genetic associations into drug targets requires evidence that a particular gene, and its encoded protein, contribute causally to a disease. To achieve this, we employ a three-step proteome-by-phenome Mendelian Randomization (MR) approach. In step one, 154 protein quantitative trait loci (pQTLs) were identified and independently replicated.

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Background: Smoking status, alcohol consumption and HPV infection (acquired through sexual activity) are the predominant risk factors for oropharyngeal cancer and are thought to alter the prognosis of the disease. Here, we conducted single-site and differentially methylated region (DMR) epigenome-wide association studies (EWAS) of these factors, in addition to ∼ 3-year survival, using Illumina Methylation EPIC DNA methylation profiles from whole blood in 409 individuals as part of the Head and Neck 5000 (HN5000) study. Overlapping sites between each factor and survival were then assessed using two-step Mendelian randomization to assess whether methylation at these positions causally affected survival.

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Background: Accurate measurement of pulmonary oxygenation is important for classification of disease severity and quantification of outcomes in clinical studies. Currently, tension-based methods such as P/F ratio are in widespread use, but are known to be less accurate than content-based methods. However, content-based methods require invasive measurements or sophisticated equipment that are rarely used in clinical practice.

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In the original version of this Article, the legend in the upper panel of Figure 2 incorrectly read 'paternal imprinting' and should have read 'maternal imprinting'. This has been corrected in both the PDF and HTML versions of the Article.

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Parent-of-origin effects (POE) exist when there is differential expression of alleles inherited from the two parents. A genome-wide scan for POE on DNA methylation at 639,238 CpGs in 5,101 individuals identifies 733 independent methylation CpGs potentially influenced by POE at a false discovery rate ≤ 0.05 of which 331 had not previously been identified.

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Unlabelled: We use a genome-wide association of 1 million parental lifespans of genotyped subjects and data on mortality risk factors to validate previously unreplicated findings near , , , , , and 13q21.31, and identify and replicate novel findings near , , and . We also validate previous findings near 5q33.

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Genetic variants underlying complex traits, including disease susceptibility, are enriched within the transcriptional regulatory elements, promoters and enhancers. There is emerging evidence that regulatory elements associated with particular traits or diseases share similar patterns of transcriptional activity. Accordingly, shared transcriptional activity (coexpression) may help prioritise loci associated with a given trait, and help to identify underlying biological processes.

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Gas phase methodologies are increasingly used to study the structure of proteins and peptides. A challenge to the mass spectrometrist is to preserve the structure of the system of interest intact and unaltered from solution into the gas phase. Small peptides are very flexible and can present a number of conformations in solution.

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