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Daniel L. McCartney
University of Edinburgh
DNA methylationEpigeneticsGeneticsCohortBiology
22Publications
5H-index
110Citations
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Publications 33
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#1Robert F. HillaryH-Index: 3
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#1Jure Mur (Edin.: University of Edinburgh)
#2Daniel L. McCartney (Edin.: University of Edinburgh)H-Index: 5
Last. Kathryn L. Evans (Edin.: University of Edinburgh)H-Index: 20
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Introduction: Genetic variation in the apolipoprotein E (APOE) gene is associated with Alzheimer's disease (AD) and risk factors for cardiovascular disease (CVD). DNA methylationat APOE has been associated with altered cognition and AD. It is unclear if epigenetic marks could be used for predicting future disease. Methods: We assessed blood-based DNA methylation at 13 CpGs in the APOE gene in 5828 participants from the Generation Scotland (GS) cohort. Using linear mixed models regression, we exa...
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#1Ryan Langdon (UoB: University of Bristol)H-Index: 4
#2Rhona Beynon (UoB: University of Bristol)H-Index: 2
Last. Caroline L. ReltonH-Index: 49
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BACKGROUND: DNA methylation (DNAm) variation is an established predictor for several traits. In the context of oropharyngeal cancer (OPC), where 5-year survival is ~ 65%, DNA methylation may act as a prognostic biomarker. We examined the accuracy of DNA methylation biomarkers of 4 complex exposure traits (alcohol consumption, body mass index [BMI], educational attainment and smoking status) in predicting all-cause mortality in people with OPC. RESULTS: DNAm predictors of alcohol consumption, BMI...
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#1Anne Seeboth (Edin.: University of Edinburgh)H-Index: 1
#2Daniel L. McCartney (Edin.: University of Edinburgh)H-Index: 5
Last. Sara Haegg (KI: Karolinska Institutet)H-Index: 22
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BACKGROUND: DNA methylation outlier burden has been suggested as a potential marker of biological age. An outlier is typically defined as DNA methylation levels at any one CpG site that are three times beyond the inter-quartile range from the 25th or 75th percentiles compared to the rest of the population. DNA methylation outlier burden (the number of such outlier sites per individual) increases exponentially with age. However, these findings have been observed in small samples. RESULTS: Here, w...
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#1Robert F. Hillary (Edin.: University of Edinburgh)H-Index: 3
#2Daniel Trejo-Banos (UNIL: University of Lausanne)
Last. David C. Liewald (Edin.: University of Edinburgh)H-Index: 37
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The molecular factors which control circulating levels of inflammatory proteins are not well understood. Furthermore, association studies between molecular probes and human traits are often performed by linear model-based methods which may fail to account for complex structure and interrelationships within molecular datasets. Therefore, in this study, we perform genome- and epigenome-wide association studies (GWAS/EWAS) on the levels of 70 plasma-derived inflammatory protein biomarkers in health...
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#1Ingle S (UoB: University of Bristol)
#2Ryan Langdon (UoB: University of Bristol)H-Index: 4
Last. Tim Waterboer (DKFZ: German Cancer Research Center)H-Index: 40
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Background: Epigenetic clocks are biomarkers of ageing derived from DNA methylation levels at a subset of CpG sites. The difference between predicted age from these clocks and chronological age (epigenetic age acceleration) has been shown to predict age-related disease and mortality. We aimed to assess the prognostic value of epigenetic age acceleration with all-cause mortality in a prospective clinical cohort of individuals with head and neck cancer: Head and Neck 5000. Methods: We investigated...
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#1Robert F. Hillary (Edin.: University of Edinburgh)H-Index: 3
#2Anna J. Stevenson (Edin.: University of Edinburgh)H-Index: 3
Last. Andrew M. McIntosh (Edin.: University of Edinburgh)H-Index: 75
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Individuals of the same chronological age display different rates of biological ageing. A number of measures of biological age have been proposed which harness age-related changes in DNA methylation profiles. These include methylation-based predictors of chronological age (HorvathAge, HannumAge), all-cause mortality (DNAm PhenoAge, DNAm GrimAge) and telomere length (DNAm Telomere Length). In this study, we test the association between these epigenetic markers of ageing and the prevalence and inc...
1 CitationsSource
#2Futao ZhangH-Index: 12
Last. Archie CampbellH-Index: 24
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#2Futao ZhangH-Index: 12
Last. Riccardo E. MarioniH-Index: 40
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Availability of Data and Material According to the terms of consent for GS participants, access to individual-level data (omics and phenotypes) must be reviewed by the GS Access Committee. Applications should be made to access@generationscotland.org. Full summary statistics for the analyses presented are publicly available online at https://doi.org/10.7488/ds/2709. Funding GS received core support from the Chief Scientist Office of the Scottish Government Health Directorates (CZD/16/6) and the S...
1 CitationsSource
#1Robert F. Hillary (Edin.: University of Edinburgh)H-Index: 3
#2Anna J. Stevenson (Edin.: University of Edinburgh)H-Index: 3
Last. Riccardo E. Marioni (Edin.: University of Edinburgh)H-Index: 40
view all 23 authors...
Individuals of the same chronological age exhibit disparate rates of biological ageing. Consequently, a number of methodologies have been proposed to determine biological age and primarily exploit variation at the level of DNA methylation (DNAm). A novel epigenetic clock, termed ‘DNAm GrimAge’ has outperformed its predecessors in predicting the risk of mortality as well as many age-related morbidities. However, the association between DNAm GrimAge and cognitive or neuroimaging phenotypes remains...
4 CitationsSource
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