Search

Your search keyword '"Wilman, Henry R."' showing total 16 results
Start Over Author "Wilman, Henry R."
16 results on '"Wilman, Henry R."'

1. Automated Detection of Cystic Lesions in Quantitative T1 Liver Images

Author

Wojciechowska, Marta, Irving, Benjamin, Dennis, Andrea, Wilman, Henry R., Banerjee, Rajarshi, Brady, Sir Michael, Kelly, Matt, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Nixon, Mark, editor, Mahmoodi, Sasan, editor, and Zwiggelaar, Reyer, editor

Published
2018
Full Text
View/download PDF

2. Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration

Author

Jennison, Christopher, Ehrhardt, Beate, Baum, Patrick, Schoelsch, Corinna, Freijer, Jan, Grempler, Rolf, Graefe-Mody, Ulrike, Hennige, Anita, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinecich, Iryna, Pattou, Francois, Raverdi, Violeta, Caiazzo, Robert, Torres, Fanelly, Verkindt, Helene, Mari, Andrea, Tura, Andrea, Giorgino, Toni, Bizzotto, Roberto, Froguel, Philippe, Bonneford, Amelie, Canouil, Mickael, Dhennin, Veronique, Brorsson, Caroline, Brunak, Soren, De Masi, Federico, Gudmundsdóttir, Valborg, Pedersen, Helle, Banasik, Karina, Thomas, Cecilia, Sackett, Peter, Staerfeldt, Hans-Henrik, Lundgaard, Agnete, Nilsson, Birgitte, Nielsen, Agnes, Mazzoni, Gianluca, Karaderi, Tugce, Rasmussen, Simon, Johansen, Joachim, Allesøe, Rosa, Fritsche, Andreas, Thorand, Barbara, Adamski, Jurek, Grallert, Harald, Haid, Mark, Sharma, Sapna, Troll, Martina, Adam, Jonathan, Ferrer, Jorge, Eriksen, Heather, Frost, Gary, Haussler, Ragna, Hong, Mun-gwan, Schwenk, Jochen, Uhlen, Mathias, Nicolay, Claudia, Pavo, Imre, Steckel-Hamann, Birgit, Thomas, Melissa, Adragni, Kofi, Wu, Han, Hart, Leen't, Roderick, Slieker, van Leeuwen, Nienke, Dekkers, Koen, Frau, Francesca, Gassenhuber, Johann, Jablonka, Bernd, Musholt, Petra, Ruetten, Hartmut, Tillner, Joachim, Baltauss, Tania, Bernard Poenaru, Oana, de Preville, Nathalie, Rodriquez, Marianne, Arumugam, Manimozhiyan, Allin, Kristine, Engelbrechtsen, Line, Hansen, Torben, Hansen, Tue, Forman, Annemette, Jonsson, Anna, Pedersen, Oluf, Dutta, Avirup, Vogt, Josef, Vestergaard, Henrik, Laakso, Markku, Kokkola, Tarja, Kuulasmaa, Teemu, Franks, Paul, Giordano, Nick, Pomares-Millan, Hugo, Fitipaldi, Hugo, Mutie, Pascal, Klintenberg, Maria, Bergstrom, Margit, Groop, Leif, Ridderstrale, Martin, Atabaki Pasdar, Naeimeh, Deshmukh, Harshal, Heggie, Alison, Wake, Dianne, McEvoy, Donna, McVittie, Ian, Walker, Mark, Hattersley, Andrew, Hill, Anita, Jones, Angus, McDonald, Timothy, Perry, Mandy, Nice, Rachel, Hudson, Michelle, Thorne, Claire, Dermitzakis, Emmanouil, Viñuela, Ana, Cabrelli, Louise, Loftus, Heather, Dawed, Adem, Donnelly, Louise, Forgie, Ian, Pearson, Ewan, Palmer, Colin, Brown, Andrew, Koivula, Robert, Wesolowska-Andersen, Agata, Abdalla, Moustafa, McRobert, Nicky, Fernandez, Juan, Jiao, Yunlong, Robertson, Neil, Gough, Stephen, Kaye, Jane, Mourby, Miranda, Mahajan, Anubha, McCarthy, Mark, Shah, Nisha, Teare, Harriet, Holl, Reinhard, Koopman, Anitra, Rutters, Femke, Beulens, Joline, Groeneveld, Lenka, Bell, Jimmy, Thomas, Louise, Whitcher, Brandon, Wilman, Henry R., Parisinos, Constantinos A., Atabaki-Pasdar, Naeimeh, Kelly, Matt, Thomas, E. Louise, Neubauer, Stefan, Hingorani, Aroon D., Patel, Riyaz S., Hemingway, Harry, Franks, Paul W., Bell, Jimmy D., Banerjee, Rajarshi, and Yaghootkar, Hanieh

Published
2019
Full Text
View/download PDF

3. Computational studies of protein helix kinks

Author

Wilman, Henry R., Deane, Charlotte M., and Shi, Jiye

Subjects
572, Bioinformatics (biochemistry), Life Sciences, Bioinformatics (life sciences), Computational chemistry, Membrane proteins, Protein chemistry, Mathematical genetics and bioinformatics (statistics), Physical Sciences, Polymers Amino acid and peptide chemistry, Bioinformatics (technology), Technology and Applied Sciences, Protein, Helix, Kink, Secondary structure, Structural biology, protein structure prediction, crowdsourcing
Abstract

Kinks are functionally important structural features found in the alpha-helices of many proteins, particularly membrane proteins. Structurally, they are points at which a helix abruptly changes direction. Previous kink definition and identification methods often disagree with one another. Here I describe three novel methods to characterise kinks, which improve on existing approaches. First, Kink Finder, a computational method that consistently locates kinks and estimates the error in the kink angle. Second the B statistic, a statistically robust method for identifying kinks. Third, Alpha Helices Assessed by Humans, a crowdsourcing approach that provided a gold-standard data set on which to train and compare existing kink identification methods. In this thesis, I show that kinks are a feature of long -helices in both soluble and membrane proteins, rather than just transmembrane -helices. Characteristics of kinks in the two types of proteins are similar, with Proline being the dominant feature in both types of protein. In soluble proteins, kinked helices also have a clear structural preference in that they typically point into the solvent. I also explored the conservation of kinks in homologous proteins. I found examples of conserved and non-conserved kinks in both the helix pairs and the helix families. Helix pairs with non-conserved kinks generally have less similar sequences than helix pairs with conserved kinks. I identified helix families that show highly conserved kinks, and families that contain non-conserved kinks, suggesting that some kinks may be flexible points in protein structures.

Published
2014

4. Corrigendum to: “Genome-wide and Mendelian randomisation studies of liver MRI yield insights into the pathogenesis of steatohepatitis” [J Hepatol (2020) 241-251]

Author

Parisinos, Constantinos A., primary, Wilman, Henry R., additional, Thomas, E. Louise, additional, Kelly, Matt, additional, Nicholls, Rowan C., additional, McGonigle, John, additional, Neubauer, Stefan, additional, Hingorani, Aroon D., additional, Patel, Riyaz S., additional, Hemingway, Harry, additional, Bell, Jimmy D., additional, Banerjee, Rajarshi, additional, and Yaghootkar, Hanieh, additional

Published
2020
Full Text
View/download PDF

6. Genome-wide and Mendelian randomisation studies of liver MRI yield insights into the pathogenesis of steatohepatitis

Author

Parisinos, Constantinos A., primary, Wilman, Henry R., additional, Thomas, E. Louise, additional, Kelly, Matt, additional, Nicholls, Rowan C., additional, McGonigle, John, additional, Neubauer, Stefan, additional, Hingorani, Aroon D., additional, Patel, Riyaz S., additional, Hemingway, Harry, additional, Bell, Jimmy D., additional, Banerjee, Rajarshi, additional, and Yaghootkar, Hanieh, additional

Published
2020
Full Text
View/download PDF

7. Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration

Author

Wilman, Henry R., Parisinos, Constantinos A., Atabaki-Pasdar, Naeimeh, Kelly, Matt, Thomas, E. Louise, Neubauer, Stefan, Jennison, Christopher, Ehrhardt, Beate, Baum, Patrick, Schoelsch, Corinna, Freijer, Jan, Grempler, Rolf, Graefe-Mody, Ulrike, Hennige, Anita, Dings, Christiane, Lehr, Thorsten, Scherer, Nina, Sihinecich, Iryna, Pattou, Francois, Raverdi, Violeta, Caiazzo, Robert, Torres, Fanelly, Verkindt, Helene, Mari, Andrea, Tura, Andrea, Giorgino, Toni, Bizzotto, Froguel, Philippe, Bonneford, Amelie, Canouil, Mickael, Dhennin, Veronique, Brorsson, Caroline, Brunak, Soren, de Masi, Federico, Gudmundsdóttir, Valborg, Pedersen, Helle, Banasik, Karina, Thomas, Cecilia, Sackett, Peter, Staerfeldt, Hans-Henrik, Lundgaard, Agnete, Koopman, Anitra, Rutters, Femke, Beulens, Joline, Groeneveld, Lenka, Thomas, Louise, Whitcher, Brandon, Mahajan, Anubha, Hingorani, Aroon D., Patel, Riyaz S., Hemingway, Harry, Franks, Paul W., Bell, Jimmy D., Banerjee, Rajarshi, Yaghootkar, Hanieh, Epidemiology and Data Science, APH - Health Behaviors & Chronic Diseases, ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, and APH - Aging & Later Life

Abstract

Background & Aims: Excess liver iron content is common and is linked to the risk of hepatic and extrahepatic diseases. We aimed to identify genetic variants influencing liver iron content and use genetics to understand its link to other traits and diseases. Methods: First, we performed a genome-wide association study (GWAS) in 8,289 individuals from UK Biobank, whose liver iron level had been quantified by magnetic resonance imaging, before validating our findings in an independent cohort (n = 1,513 from IMI DIRECT). Second, we used Mendelian randomisation to test the causal effects of 25 predominantly metabolic traits on liver iron content. Third, we tested phenome-wide associations between liver iron variants and 770 traits and disease outcomes. Results: We identified 3 independent genetic variants (rs1800562 [C282Y] and rs1799945 [H63D] in HFE and rs855791 [V736A] in TMPRSS6) associated with liver iron content that reached the GWAS significance threshold (p

Published
2019

8. Repeatability and reproducibility of multiparametric magnetic resonance imaging of the liver

Author

Bachtiar, Velicia, primary, Kelly, Matthew D., additional, Wilman, Henry R., additional, Jacobs, Jaco, additional, Newbould, Rexford, additional, Kelly, Catherine J., additional, Gyngell, Michael L., additional, Groves, Katherine E., additional, McKay, Andy, additional, Herlihy, Amy H., additional, Fernandes, Carolina C., additional, Halberstadt, Mark, additional, Maguire, Marion, additional, Jayaratne, Naomi, additional, Linden, Sophia, additional, Neubauer, Stefan, additional, and Banerjee, Rajarshi, additional

Published
2019
Full Text
View/download PDF

10. Study protocol: HepaT1ca – an observational clinical cohort study to quantify liver health in surgical candidates for liver malignancies

Author

Mole, Damian J., primary, Fallowfield, Jonathan A., additional, Kendall, Timothy J., additional, Welsh, Fenella, additional, Semple, Scott I., additional, Bachtiar, Velicia, additional, Kelly, Matt, additional, Wigmore, Stephen J., additional, James Garden, O., additional, Wilman, Henry R., additional, Banerjee, Rajarshi, additional, Rees, Myrddin, additional, and Brady, Michael, additional

Published
2018
Full Text
View/download PDF

11. Examining the Conservation of Kinks in Alpha Helices

Author

Law, Eleanor C., Wilman, Henry R., Kelm, Sebastian, Shi, Jiye, and Deane, Charlotte M.

Subjects
Protein Structure Comparison, Protein Conformation, alpha-Helical, Protein Conformation, Cell Membranes, lcsh:Medicine, Crystallography, X-Ray, Biochemistry, Receptors, G-Protein-Coupled, Database and Informatics Methods, Protein Structure Databases, Macromolecular Structure Analysis, Amino Acids, lcsh:Science, Databases, Protein, Quantitative Biology::Biomolecules, Crystallography, Organic Compounds, Physics, Condensed Matter Physics, Chemistry, Physical Sciences, Crystal Structure, lipids (amino acids, peptides, and proteins), Cellular Structures and Organelles, Sequence Analysis, Statistics (Mathematics), Research Article, Signal Transduction, Protein Structure, Proline, Transmembrane Receptors, Research and Analysis Methods, Confidence Intervals, Solid State Physics, Molecular Biology Techniques, Sequencing Techniques, Nonlinear Sciences::Pattern Formation and Solitons, Molecular Biology, lcsh:R, Organic Chemistry, Chemical Compounds, Biology and Life Sciences, Proteins, Membrane Proteins, Cyclic Amino Acids, Cell Biology, Biological Databases, lcsh:Q, G Protein Coupled Receptors, Sequence Alignment, Mathematics
Abstract

Kinks are a structural feature of alpha-helices and many are known to have functional roles. Kinks have previously tended to be defined in a binary fashion. In this paper we have deliberately moved towards defining them on a continuum, which given the unimodal distribution of kink angles is a better description. From this perspective, we examine the conservation of kinks in proteins. We find that kink angles are not generally a conserved property of homologs, pointing either to their not being functionally critical or to their function being related to conformational flexibility. In the latter case, the different structures of homologs are providing snapshots of different conformations. Sequence identity between homologous helices is informative in terms of kink conservation, but almost equally so is the sequence identity of residues in spatial proximity to the kink. In the specific case of proline, which is known to be prevalent in kinked helices, loss of a proline from a kinked helix often also results in the loss of a kink or reduction in its kink angle. We carried out a study of the seven transmembrane helices in the GPCR family and found that changes in kinks could be related both to subfamilies of GPCRs and also, in a particular subfamily, to the binding of agonists or antagonists. These results suggest conformational change upon receptor activation within the GPCR family. We also found correlation between kink angles in different helices, and the possibility of concerted motion could be investigated further by applying our method to molecular dynamics simulations. These observations reinforce the belief that helix kinks are key, functional, flexible points in structures.

Published
2016

12. Correction: Characterisation of liver fat in the UK Biobank cohort

Author

Wilman, Henry R., primary, Kelly, Matt, additional, Garratt, Steve, additional, Matthews, Paul M., additional, Milanesi, Matteo, additional, Herlihy, Amy, additional, Gyngell, Michael, additional, Neubauer, Stefan, additional, Bell, Jimmy D., additional, Banerjee, Rajarshi, additional, and Thomas, E. Louise, additional

Published
2017
Full Text
View/download PDF

13. Characterisation of liver fat in the UK Biobank cohort

Author

Wilman, Henry R., primary, Kelly, Matt, additional, Garratt, Steve, additional, Matthews, Paul M., additional, Milanesi, Matteo, additional, Herlihy, Amy, additional, Gyngell, Micheal, additional, Neubauer, Stefan, additional, Bell, Jimmy D., additional, Banerjee, Rajarshi, additional, and Thomas, E. Louise, additional

Published
2017
Full Text
View/download PDF

16. Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration.

Author

Wilman HR, Parisinos CA, Atabaki-Pasdar N, Kelly M, Thomas EL, Neubauer S, Mahajan A, Hingorani AD, Patel RS, Hemingway H, Franks PW, Bell JD, Banerjee R, and Yaghootkar H

Subjects
Adult, Aged, Biomarkers blood, Cohort Studies, Female, Humans, Magnetic Resonance Imaging methods, Male, Mendelian Randomization Analysis, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, United Kingdom, Genome-Wide Association Study methods, Hemochromatosis genetics, Hemochromatosis Protein genetics, Hepcidins genetics, Iron blood, Liver metabolism
Abstract

Background & Aims: Excess liver iron content is common and is linked to the risk of hepatic and extrahepatic diseases. We aimed to identify genetic variants influencing liver iron content and use genetics to understand its link to other traits and diseases., Methods: First, we performed a genome-wide association study (GWAS) in 8,289 individuals from UK Biobank, whose liver iron level had been quantified by magnetic resonance imaging, before validating our findings in an independent cohort (n = 1,513 from IMI DIRECT). Second, we used Mendelian randomisation to test the causal effects of 25 predominantly metabolic traits on liver iron content. Third, we tested phenome-wide associations between liver iron variants and 770 traits and disease outcomes., Results: We identified 3 independent genetic variants (rs1800562 [C282Y] and rs1799945 [H63D] in HFE and rs855791 [V736A] in TMPRSS6) associated with liver iron content that reached the GWAS significance threshold (p <5 × 10 -8 ). The 2 HFE variants account for ∼85% of all cases of hereditary haemochromatosis. Mendelian randomisation analysis provided evidence that higher central obesity plays a causal role in increased liver iron content. Phenome-wide association analysis demonstrated shared aetiopathogenic mechanisms for elevated liver iron, high blood pressure, cirrhosis, malignancies, neuropsychiatric and rheumatological conditions, while also highlighting inverse associations with anaemias, lipidaemias and ischaemic heart disease., Conclusion: Our study provides genetic evidence that mechanisms underlying higher liver iron content are likely systemic rather than organ specific, that higher central obesity is causally associated with higher liver iron, and that liver iron shares common aetiology with multiple metabolic and non-metabolic diseases., Lay Summary: Excess liver iron content is common and is associated with liver diseases and metabolic diseases including diabetes, high blood pressure, and heart disease. We identified 3 genetic variants that are linked to an increased risk of developing higher liver iron content. We show that the same genetic variants are linked to higher risk of many diseases, but they may also be associated with some health advantages. Finally, we use genetic variants associated with waist-to-hip ratio as a tool to show that central obesity is causally associated with increased liver iron content., (Copyright © 2019 European Association for the Study of the Liver. All rights reserved.)

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results