12 results on '"Julian, Thomas H"'
Search Results
2. Causal factors in primary open angle glaucoma: a phenome-wide Mendelian randomisation study
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Julian, Thomas H., Girach, Zain, Sanderson, Eleanor, Guo, Hui, Yu, Jonathan, Cooper-Knock, Johnathan, Black, Graeme C., and Sergouniotis, Panagiotis I.
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- 2023
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3. Rare and common genetic determinants of mitochondrial function determine severity but not risk of amyotrophic lateral sclerosis
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Harvey, Calum, Weinreich, Marcel, Lee, James A.K., Shaw, Allan C., Ferraiuolo, Laura, Mortiboys, Heather, Zhang, Sai, Hop, Paul J., Zwamborn, Ramona A.J., van Eijk, Kristel, Julian, Thomas H., Moll, Tobias, Iacoangeli, Alfredo, Al Khleifat, Ahmad, Quinn, John P., Pfaff, Abigail L., Kõks, Sulev, Poulton, Joanna, Battle, Stephanie L., Arking, Dan E., Snyder, Michael P., Veldink, Jan H., Kenna, Kevin P., Shaw, Pamela J., and Cooper-Knock, Johnathan
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- 2024
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4. Unbiased metabolome screen links serum urate to risk of Alzheimer's disease
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Şanlı, Beyazıt Abdurrahman, Whittaker, Katherine J., Motsi, Gamuchirai K., Shen, Emery, Julian, Thomas H., and Cooper-Knock, Johnathan
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- 2022
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5. Higher admission activated partial thromboplastin time, neutrophil-lymphocyte ratio, serum sodium, and anticoagulant use predict in-hospital COVID-19 mortality in people with Diabetes: Findings from Two University Hospitals in the U.K
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Iqbal, Ahmed, Greig, Marni, Arshad, Muhammad Fahad, Julian, Thomas H., Ee Tan, Sher, and Elliott, Jackie
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- 2021
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6. Phenome-wide Mendelian randomisation analysis identifies causal factors for age-related macular degeneration.
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Julian, Thomas H., Cooper-Knock, Johnathan, MacGregor, Stuart, Hui Guo, Aslam, Tariq, Sanderson, Eleanor, Black, Graeme C. M., and Sergouniotis, Panagiotis I.
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MACULAR degeneration , *BLOOD proteins , *ODDS ratio , *TRANSLATIONAL research , *SPHINGOMYELIN - Abstract
Background: Age-related macular degeneration (AMD) is a leading cause of blindness in the industrialised world and is projected to affect >280 million people worldwide by 2040. Aiming to identify causal factors and potential therapeutic targets for this common condition, we designed and undertook a phenome-wide Mendelian randomisation (MR) study. Methods: We evaluated the effect of 4591 exposure traits on early AMD using univariable MR. Statistically significant results were explored further using: validation in an advanced AMD cohort; MR Bayesian model averaging (MR-BMA); and multivariable MR. Results: Overall, 44 traits were found to be putatively causal for early AMD in univariable analysis. Serum proteins that were found to have significant relationships with AMD included S100-A5 (odds ratio [OR] = 1.07, p-value = 6.80E-06), cathepsin F (OR = 1.10, p-value = 7.16E-05), and serine palmitoyltransferase 2 (OR = 0.86, p-value = 1.00E-03). Univariable MR analysis also supported roles for complement and immune cell traits. Although numerous lipid traits were found to be significantly related to AMD, MR-BMA suggested a driving causal role for serum sphingomyelin (marginal inclusion probability [MIP] = 0.76; model-averaged causal estimate [MACE] = 0.29). Conclusions: The results of this MR study support several putative causal factors for AMD and highlight avenues for future translational research. [ABSTRACT FROM AUTHOR]
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- 2023
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7. Atypical TDP‐43 protein expression in an ALS pedigree carrying a p.Y374X truncation mutation in TARDBP.
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Cooper‐Knock, Johnathan, Julian, Thomas H., Feneberg, Emily, Highley, J. Robin, Sidra, Maurice, Turner, Martin R., Talbot, Kevin, Ansorge, Olaf, Allen, Scott P., Moll, Tobias, Shelkovnikova, Tatyana, Castelli, Lydia, Hautbergue, Guillaume M., Hewitt, Christopher, Kirby, Janine, Wharton, Stephen B., Mead, Richard J., and Shaw, Pamela J.
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AMYOTROPHIC lateral sclerosis , *PROTEIN expression , *MOTOR cortex , *NONSENSE mutation , *MOTOR neurons , *FIBROBLASTS , *GENEALOGY , *MASS spectrometry - Abstract
We describe an autosomal dominant, multi‐generational, amyotrophic lateral sclerosis (ALS) pedigree in which disease co‐segregates with a heterozygous p.Y374X nonsense mutation within TDP‐43. Mislocalization of TDP‐43 and formation of insoluble TDP‐43‐positive neuronal cytoplasmic inclusions is the hallmark pathology in >95% of ALS patients. Neuropathological examination of the single case for which CNS tissue was available indicated typical TDP‐43 pathology within lower motor neurons, but classical TDP‐43‐positive inclusions were absent from motor cortex. The mutated allele is transcribed and translated in patient fibroblasts and motor cortex tissue, but overall TDP‐43 protein expression is reduced compared to wild‐type controls. Despite absence of TDP‐43‐positive inclusions we confirmed deficient TDP‐43 splicing function within motor cortex tissue. Furthermore, urea fractionation and mass spectrometry of motor cortex tissue carrying the mutation revealed atypical TDP‐43 protein species but not typical C‐terminal fragments. We conclude that the p.Y374X mutation underpins a monogenic, fully penetrant form of ALS. Reduced expression of TDP‐43 combined with atypical TDP‐43 protein species and absent C‐terminal fragments extends the molecular phenotypes associated with TDP‐43 mutations and with ALS more broadly. Future work will need to include the findings from this pedigree in dissecting the mechanisms of TDP‐43‐mediated toxicity. [ABSTRACT FROM AUTHOR]
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- 2023
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8. Unbiased metabolome screen leads to personalized medicine strategy for amyotrophic lateral sclerosis.
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Boddy, Sarah, Islam, Mahjabin, Moll, Tobias, Kurz, Julian, Burrows, David, McGown, Alexander, Bhargava, Anushka, Julian, Thomas H., Harvey, Calum, Marshall, Jack N. G., Hall, Benjamin P. C., Allen, Scott P., Kenna, Kevin P., Sanderson, Eleanor, Sai Zhang, Ramesh, Tennore, Snyder, Michael P., Shaw, Pamela J., McDermott, Christopher, and Cooper-Knock, Johnathan
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- 2022
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9. A review of Mendelian randomization in amyotrophic lateral sclerosis.
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Julian, Thomas H, Boddy, Sarah, Islam, Mahjabin, Kurz, Julian, Whittaker, Katherine J, Moll, Tobias, Harvey, Calum, Zhang, Sai, Snyder, Michael P, McDermott, Christopher, Cooper-Knock, Johnathan, and Shaw, Pamela J
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TYPE 2 diabetes , *AMYOTROPHIC lateral sclerosis , *RESEARCH funding , *NEURODEGENERATION , *LIPIDS ,RESEARCH evaluation - Abstract
Amyotrophic lateral sclerosis is a relatively common and rapidly progressive neurodegenerative disease that, in the majority of cases, is thought to be determined by a complex gene-environment interaction. Exponential growth in the number of performed genome-wide association studies combined with the advent of Mendelian randomization is opening significant new opportunities to identify environmental exposures that increase or decrease the risk of amyotrophic lateral sclerosis. Each of these discoveries has the potential to shape new therapeutic interventions. However, to do so, rigorous methodological standards must be applied in the performance of Mendelian randomization. We have reviewed Mendelian randomization studies performed in amyotrophic lateral sclerosis to date. We identified 20 Mendelian randomization studies, including evaluation of physical exercise, adiposity, cognitive performance, immune function, blood lipids, sleep behaviours, educational attainment, alcohol consumption, smoking and type 2 diabetes mellitus. We have evaluated each study using gold standard methodology supported by the Mendelian randomization literature and the STROBE-Mendelian randomization checklist. Where discrepancies exist between Mendelian randomization studies, we suggest the underlying reasons. A number of studies conclude that there is a causal link between blood lipids and risk of amyotrophic lateral sclerosis; replication across different datasets and even different populations adds confidence. For other putative risk factors, such as smoking and immune function, Mendelian randomization studies have provided cause for doubt. We highlight the use of positive control analyses in choosing exposure single nucleotide polymorphisms (SNPs) to make up the Mendelian randomization instrument, use of SNP clumping to avoid false positive results due to SNPs in linkage and the importance of multiple testing correction. We discuss the implications of survival bias for study of late age of onset diseases such as amyotrophic lateral sclerosis and make recommendations to mitigate this potentially important confounder. For Mendelian randomization to be useful to the amyotrophic lateral sclerosis field, high methodological standards must be applied to ensure reproducibility. Mendelian randomization is already an impactful tool, but poor-quality studies will lead to incorrect interpretations by a field that includes non-statisticians, wasted resources and missed opportunities. [ABSTRACT FROM AUTHOR]
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- 2022
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10. Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity.
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Zhang S, Cooper-Knock J, Weimer AK, Shi M, Kozhaya L, Unutmaz D, Harvey C, Julian TH, Furini S, Frullanti E, Fava F, Renieri A, Gao P, Shen X, Timpanaro IS, Kenna KP, Baillie JK, Davis MM, Tsao PS, and Snyder MP
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- Adult, CD56 Antigen analysis, CD56 Antigen metabolism, Cytokines metabolism, Genetic Predisposition to Disease, Humans, Killer Cells, Natural chemistry, Killer Cells, Natural metabolism, Polymorphism, Single Nucleotide, COVID-19 genetics
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The determinants of severe COVID-19 in healthy adults are poorly understood, which limits the opportunity for early intervention. We present a multiomic analysis using machine learning to characterize the genomic basis of COVID-19 severity. We use single-cell multiome profiling of human lungs to link genetic signals to cell-type-specific functions. We discover >1,000 risk genes across 19 cell types, which account for 77% of the SNP-based heritability for severe disease. Genetic risk is particularly focused within natural killer (NK) cells and T cells, placing the dysfunction of these cells upstream of severe disease. Mendelian randomization and single-cell profiling of human NK cells support the role of NK cells and further localize genetic risk to CD56
bright NK cells, which are key cytokine producers during the innate immune response. Rare variant analysis confirms the enrichment of severe-disease-associated genetic variation within NK-cell risk genes. Our study provides insights into the pathogenesis of severe COVID-19 with potential therapeutic targets., Competing Interests: Declaration of interests M.P.S. is a co-founder and member of the scientific advisory board of Personalis, Qbio, January, SensOmics, Protos, Mirvie, NiMo, Onza, and Oralome. He is also on the scientific advisory board of Danaher, Genapsys, and Jupiter. No other authors have competing interests., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)- Published
- 2022
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11. Common and rare variant analyses combined with single-cell multiomics reveal cell-type-specific molecular mechanisms of COVID-19 severity.
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Zhang S, Cooper-Knock J, Weimer AK, Harvey C, Julian TH, Wang C, Li J, Furini S, Frullanti E, Fava F, Renieri A, Pan C, Song J, Billing-Ross P, Gao P, Shen X, Timpanaro IS, Kenna KP, Davis MM, Tsao PS, and Snyder MP
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The determinants of severe COVID-19 in non-elderly adults are poorly understood, which limits opportunities for early intervention and treatment. Here we present novel machine learning frameworks for identifying common and rare disease-associated genetic variation, which outperform conventional approaches. By integrating single-cell multiomics profiling of human lungs to link genetic signals to cell-type-specific functions, we have discovered and validated over 1,000 risk genes underlying severe COVID-19 across 19 cell types. Identified risk genes are overexpressed in healthy lungs but relatively downregulated in severely diseased lungs. Genetic risk for severe COVID-19, within both common and rare variants, is particularly enriched in natural killer (NK) cells, which places these immune cells upstream in the pathogenesis of severe disease. Mendelian randomization indicates that failed NKG2D-mediated activation of NK cells leads to critical illness. Network analysis further links multiple pathways associated with NK cell activation, including type-I-interferon-mediated signalling, to severe COVID-19. Our rare variant model, PULSE, enables sensitive prediction of severe disease in non-elderly patients based on whole-exome sequencing; individualized predictions are accurate independent of age and sex, and are consistent across multiple populations and cohorts. Risk stratification based on exome sequencing has the potential to facilitate post-exposure prophylaxis in at-risk individuals, potentially based around augmentation of NK cell function. Overall, our study characterizes a comprehensive genetic landscape of COVID-19 severity and provides novel insights into the molecular mechanisms of severe disease, leading to new therapeutic targets and sensitive detection of at-risk individuals.
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- 2021
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12. Physical exercise is a risk factor for amyotrophic lateral sclerosis: Convergent evidence from Mendelian randomisation, transcriptomics and risk genotypes.
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Julian TH, Glascow N, Barry ADF, Moll T, Harvey C, Klimentidis YC, Newell M, Zhang S, Snyder MP, Cooper-Knock J, and Shaw PJ
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- Adult, Age of Onset, Aged, Amyotrophic Lateral Sclerosis genetics, Female, Gene-Environment Interaction, Genetic Association Studies, Genetic Predisposition to Disease, Genotype, Humans, Male, Middle Aged, C9orf72 Protein genetics, Exercise adverse effects, Gene Expression Profiling methods, Mendelian Randomization Analysis methods
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Background: Amyotrophic lateral sclerosis (ALS) is a universally fatal neurodegenerative disease. ALS is determined by gene-environment interactions and improved understanding of these interactions may lead to effective personalised medicine. The role of physical exercise in the development of ALS is currently controversial., Methods: First, we dissected the exercise-ALS relationship in a series of two-sample Mendelian randomisation (MR) experiments. Next we tested for enrichment of ALS genetic risk within exercise-associated transcriptome changes. Finally, we applied a validated physical activity questionnaire in a small cohort of genetically selected ALS patients., Findings: We present MR evidence supporting a causal relationship between genetic liability to frequent and strenuous leisure-time exercise and ALS using a liberal instrument (multiplicative random effects IVW, p=0.01). Transcriptomic analysis revealed that genes with altered expression in response to acute exercise are enriched with known ALS risk genes (permutation test, p=0.013) including C9ORF72, and with ALS-associated rare variants of uncertain significance. Questionnaire evidence revealed that age of onset is inversely proportional to historical physical activity for C9ORF72-ALS (Cox proportional hazards model, Wald test p=0.007, likelihood ratio test p=0.01, concordance=74%) but not for non-C9ORF72-ALS. Variability in average physical activity was lower in C9ORF72-ALS compared to both non-C9ORF72-ALS (F-test, p=0.002) and neurologically normal controls (F-test, p=0.049) which is consistent with a homogeneous effect of physical activity in all C9ORF72-ALS patients., Interpretation: Our MR approach suggests a positive causal relationship between ALS and physical exercise. Exercise is likely to cause motor neuron injury only in patients with a risk-genotype. Consistent with this we have shown that ALS risk genes are activated in response to exercise. In particular, we propose that G4C2-repeat expansion of C9ORF72 predisposes to exercise-induced ALS., Funding: We acknowledge support from the Wellcome Trust (JCK, 216596/Z/19/Z), NIHR (PJS, NF-SI-0617-10077; IS-BRC-1215-20017) and NIH (MPS, CEGS 5P50HG00773504, 1P50HL083800, 1R01HL101388, 1R01-HL122939, S10OD025212, P30DK116074, and UM1HG009442)., Competing Interests: Declaration of Competing Interest M.P.S. is a cofounder of Personalis, Qbio, Sensomics, Filtricine, Mirvie and January. He is on the scientific advisory board of these companies and Genapsys. No other authors have competing interests., (Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.)
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- 2021
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