Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Jonathan Mill
Interrogating DNA methylation associated with Lewy body pathology in a cross brain-region and multi-cohort study
Abstract Here, we conduct a large meta-analysis of DNA methylation across multiple cortical brain regions, in relation to increasing burden of Lewy body pathology. Utilizing a dataset of 1205 samples (832 unique donors), we identify 24 false discovery rate significant differentially methylated loci associated with Lewy body pathology, with loci located in UBASH3B and PTAFR, and an intergenic locus passing the genome-wide significance threshold.
Schizophrenia risk gene ZNF804A controls ribosome localization and synaptogenesis in developing human neurons
|
Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract ZNF804A was among the first genes robustly associated with schizophrenia based on findings from large-scale genomic studies.
By Leticia Pérez-Sisqués, Cindy Reinger, Tianyuan Zheng, Laura Sichlinger, Maximilian Hausherr, Sara Guerrisi, Lucia Dutan-Polit, George Chennell, Roland Nagy, Rugile Matuleviciute, Fatema Nasser, Szidónia Farkas, Rosemary A. Bamford, Szi Kay Leung, Rodrigo Duarte, Timothy Powell, Jonathan Mill, Katrin Marcus, Anthony C Vernon, Deepak Srivastava
|
Science Magazine
Verified
The prenatal sex steroid theory of autism after 25 years
Abstract We first proposed the prenatal sex steroid theory of autism 25 years ago to account for a number of then-unexplained observations around autism, including (1) the more frequent diagnosis of autism in male than in female individuals and (2) apparent ‘male-type’ shifts in cognitive traits associated with autism, such as empathizing and systemizing. Here we review 25 years of research testing this theory.
Epigenetic biomarkers in neurodegenerative diseases: from molecular signatures to therapeutic targets
Keywords DNA methylation chromatin architecture and accessibility epigenetic editing cell-free DNA Alzheimer’s disease Parkinson’s disease The need for novel epigenetic biomarkers in neurodegenerative diseases The global burden of neurodegenerative diseases is rapidly increasing, with estimates suggesting that the number of people affected by Alzheimer’s disease (AD) and Parkinson’s disease (PD) will more than double by 2050 [1,2].
Proteomic signatures of smoking and their associations with risk of incident diseases and mortality in diverse populations - Nature Communications
Abstract Smoking is the most important behavioural determinant of morbidity and mortality. Using machine learning on plasma levels of 2,917 proteins in the UK Biobank (n = 43,914), we develop a proteomic Smoking Index (pSIN) comprising 51 proteins that accurately distinguish current from never smokers (AUC = 0.95; 95% CI 0.94–0.95). Validation in the China Kadoorie Biobank (n = 3,977) shows similar accuracy (AUC = 0.91; 95% CI 0.89–0.92).
Cell-type-specific DNA methylation dynamics in the prenatal and postnatal human cortex
|
Keywords DNA methylation cortex development aging schizophrenia autism epigenetics fetal brain neuronal Introduction Development of the human cortex is a complex and highly orchestrated process underpinned by the temporally coordinated regulation of gene expression.1 Starting with the rapid proliferation of neural progenitor cells in the ventricular zone, these transcriptional programs drive key developmental processes, including neurogenesis and synaptogenesis, and act to regulate neuronal...
By Alice Franklin, Jonathan Davies, Nicholas E. Clifton, Georgina Blake, Rosemary A. Bamford, Emma Walker, Barry Chioza, Simon Baron-Cohen, Carrie Allison, Varun Warrier, Alex Tsompanidis, Deep Adhya, Rosie Holt, Joanna O'Donnell Verified, Niran Okewole, Daniel H Geschwind, Alexander E.P. Heazell, Jonathan Mill, Matthew E Hurles, Hilary C. Martin, Mahmoud M. Mousa, David H. Rowitch, Kathy K. Niakan, Graham J Burton, Deepak Srivastava, Lucia Dutan-Polit, Adam Pavlinek, Laura Sichlinger, Roland Nagy, Madeline A. Lancaster, Jose Gonzalez-Martinez, Tal Biron-Shental, Lidia V. Gabis, Dori Floris, Richard A. I. Bethlehem, Mike Lombardo, Marcin A. Radecki, Meng-Chuan Lai, Elizabeth Weir, Florina Uzefovsky, Yumnah T. Khan, Anna A. Penn, Rebecca C. Knickmeyer, Kyriaki Kosidou, Bart P Rutten, Sinan Guloksuz, Thérèse van Amelsvoort, Lotta-Katrin Pries, Bochao Danae Lin, Angelo Arias-Magnasco, Mary Cannon, David Cotter, Melanie Föcking, Subash Raj Susai, Elisabeth Binder Verified, Jim van Os, Jeroen Pasterkamp, Anna L. Wiersema, Marco P. Boks, Winni Schalkwijk, Karim Lekadir, Esmeralda Ruiz Pujadas, Ian Kelleher, Jenni Leppanen, Valentina Kieseppä, Simona Karbouniaris, Marijke Kolk, Jordi Rambla, Arcadi Navarro, Liina Nagirnaja, Jaanus Harro, Dejan Stevanovic, Jasna Jancic, Marija Nikolić, Laura Giani, Tomislav Franic, Mia Plenkovic, Covadonga M Díaz-Caneja, Celso Arango, Christel M. Middeldorp, Enda M. Byrne, Sushma Marla, Eilis Hannon, Emma Dempster, Philippa M Wells, Robin Murray Verified, Andrea Danese, Alexander Richards, Lucy Riglin, Michael O’Donovan, Joe Burrage, Nick Owens, Shyam Prabhakar, Martyn Frith, Genie Gu, Yira Zhang, Omar Al-Rubaie, Fateneh Ghafari, Yeshaya David Greenberg, Erika van Hell, Noussair Lazrak, Mariël Kanne, Hanske Douwenga, Aldar Cabrelles Munoz, Lauren A. Fromont, Triin Kurrikoff, Reigo Reppo, Aleksa Milevic, Maria Bulgheroni, Margherita La Gamba, Marta Ferrer-Quintero, Renzo Abregú-Crespo, Emily Guerra-Blacio, Nuria Martín-Martínez, Swathi Hassan Gangaraju
|
Cell Press
Verified
Re-annotating the EPICv2 manifest with genes, intragenic features, and regulatory elements
Abstract The Illumina Infinium MethylationEPIC v2.0 BeadChip (EPICv2 array) is a microarray for assessment of the human epigenome. Sites on the EPICv2 array are annotated with an open-source file provided by Illumina, the EPICv2 manifest. Of the 923,452 unique genomic sites targeted by the EPICv2 array, the Illumina manifest identifies just 214,808 as mapping to a gene, excluding many sites located within a gene body.
Methylomic signature of current cannabis use in two first-episode psychosis cohorts - Molecular Psychiatry
|
Abstract The rising prevalence and legalisation of cannabis worldwide have underscored the need for a comprehensive understanding of its biological impact, particularly on mental health. Epigenetic mechanisms, specifically DNA methylation, have gained increasing recognition as vital factors in the interplay between risk factors and mental health.
By Emma Dempster, Eilis Hannon, Diego Quattrone, Edoardo Spinazzola, Zhikun Li, Charlotte Gayer-Anderson, Emma Johnson, Sarah Tosato, Ilaria Tarricone, Paulo Rossi Menezes, Julio Bobes, Miguel Bernardo, Celso Arango, Peter Jones, Gerome Breen, Valeria Mondelli, Evangelos Vassos, Diptendu Mukherjee, Jim van Os, Bart P Rutten, Michael O’Donovan, Jonathan Mill, Robin Murray
|
Nature
Verified
Longitudinal changes in DNA methylation associated with clozapine use in treatment-resistant schizophrenia from two international cohorts - Translational Psychiatry
Abstract The second-generation antipsychotic clozapine is used as a medication for treatment-resistant schizophrenia. It has previously been associated with epigenetic changes in pre-clinical rodent models and cross-sectional studies of treatment-resistant schizophrenia. Cross-sectional studies are susceptible to confounding, however, and cannot disentangle the effects of diagnosis and medication.
CYP1B1-RMDN2 Alzheimer’s disease endophenotype locus identified for cerebral tau PET - Nature Communications
|
Abstract Determining the genetic architecture of Alzheimer’s disease pathologies can enhance mechanistic understanding and inform precision medicine strategies. Here, we perform a genome-wide association study of cortical tau quantified by positron emission tomography in 3046 participants from 12 independent studies. The CYP1B1-RMDN2 locus is associated with tau deposition.
By Shannon L. Risacher, Paula J Bice, Jared Brosch, Kelley Faber, Martin R Farlow, Tatiana Foroud, Thea J. Rosewood, Jun kim, Kelly Nudelman, Meichen Yu, Reisa Sperling, William Jagust, Aparna Vasanthakumar, Vincent Doré, Simon Laws, Tenielle Porter, Christopher Rowe, Timothy J. Hohman, Rachel Buckley, Hyun-Sik Yang, Ronald Petersen, Vijay Ramanan, Nilüfer Ertekin-Taner, Prashanthi Vemuri, M. Ilyas Kamboh, Oscar Lopez Verified, Muhammad Shoaib Ali, Carlos Cruchaga, Diana A. Hobbs, Vaishnavi Jadhav, Bruce Lamb, Andy P. Tsai, Isabel Castanho, Jonathan Mill, Lifestyle study
|
Nature
Verified
Leveraging epigenetic signatures to determine the cell-type of origin from long read sequencing data
Abstract DNA methylation differs across tissue- and cell-types with important implications for the analysis of disease-associated differences in tissues such as blood. To uncover the biological processes affected by epigenetic dysregulation, it is essential for epigenetic studies to generate data from the appropriate cell-types. Here we propose a framework to do this computationally from long-read sequencing data, bypassing the need to isolate subtypes of cells experimentally.
Integrating human endogenous retroviruses into transcriptome-wide association studies highlights novel risk factors for major psychiatric conditions - Nature Communications
Abstract Human endogenous retroviruses (HERVs) are repetitive elements previously implicated in major psychiatric conditions, but their role in aetiology remains unclear. Here, we perform specialised transcriptome-wide association studies that consider HERV expression quantified to precise genomic locations, using RNA sequencing and genetic data from 792 post-mortem brain samples.
Festival of Genomics 2024
Oxford Nanopore are sponsoring, exhibiting and presenting at this event. The Oxford Nanopore seminar will take place on Wednesday 24th January between 4:40 pm – 5:10 pm GMT. Speaker and presentation details are below. Please register to save your seat at the seminar. Please also visit us at Booth #38 if you are able to attend the event.
Accelerated pace of aging in schizophrenia: Five case-control studies
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information.
Epigenetic Age Acceleration in Frontotemporal Lobar Degeneration: A Comprehensive Analysis in the Blood and Brain
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Epigenetic age acceleration in frontotemporal lobar degeneration: a comprehensive analysis in the blood and brain
New Results doi: https://doi.org/10.1101/2023.05.19.541419 Abstract Frontotemporal lobar degeneration (FTLD) includes a heterogeneous group of disorders pathologically characterized by the degeneration of the frontal and temporal lobes. In addition to major genetic contributors of FTLD such as mutations in MAPT, GRN, and C9orf72, recent work has identified several epigenetic modifications including significant differential DNA methylation in DLX1, and OTUD4 loci.
Exploring the mediation of DNA methylation across the epigenome between childhood adversity and First Episode of Psychosis-findings from the EU-GEI study | Molecular Psychiatry
|
Abtract Studies conducted in psychotic disorders have shown that DNA-methylation (DNAm) is sensitive to the impact of Childhood Adversity (CA). However, whether it mediates the association between CA and psychosis is yet to be explored. Epigenome wide association studies (EWAS) using the Illumina Infinium-Methylation EPIC array in peripheral blood tissue from 366 First-episode of psychosis and 517 healthy controls was performed.
By Luis Alameda, Zhonghua Liu, Celso Arango, Miguel Bernardo, Julio Bobes, Peter Jones, James Kirkbride, Sarah Tosato, Pierre-Michel Llorca, Paulo Rossi Menezes, Jim van Os, Bart P Rutten, Eva Velthorst, Emma Dempster, Eilis Hannon, Daniella Dwir, Jonathan Mill, Robin Murray, Cristina Marta Del-Ben, Ilaria Tarricone
|
Nature
Verified
Assessing the burden of rare DNA methylation outliers in schizophrenia
Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.
Epigenome-wide association study of human frontal cortex identifies differential methylation in Lewy body pathology - Nature Communications
Abstract Parkinson’s disease (PD) and dementia with Lewy bodies (DLB) are closely related progressive disorders with no available disease-modifying therapy, neuropathologically characterized by intraneuronal aggregates of misfolded α-synuclein. To explore the role of DNA methylation changes in PD and DLB pathogenesis, we performed an epigenome-wide association study (EWAS) of 322 postmortem frontal cortex samples and replicated results in an independent set of 200 donors.
A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator
A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator Trevor Doherty, Emma Dempster, Eilis Hannon, Jonathan Mill, Richie Poulton, David Corcoran, Karen Sugden, Benjamin Williams, Avshalom Caspi, Terrie E Moffitt, Sarah Jane Delany, Therese M Murphy bioRxiv 2022.04.02.486242; doi: https://doi.org/10.1101/2022.04.02.486242
Ageing: how our 'epigenetic clocks' slow down as we get older
From the tap dancing 90-year-old to the 40-year-old who struggles to run a mile, we all know people who seem surprisingly young or old for their age. By Leonard Schalkwyk, University of Essex and Jonathan Mill, University of Exeter Scientists believe that it may be possible to distinguish between two types of age: biological age, a measure of how well the body functions, and chronological age, your age in years.
Attention to the Unseen
Monkey Business Images By Leonard Schalkwyk, University of Essex and Jonathan Mill, University of Exeter From the tap dancing 90-year-old to the 40-year-old who struggles to run a mile, we all know people who seem surprisingly young or old for their age. Scientists believe that it may be possible to distinguish between two types of age: biological age, a measure of how well the body functions, and chronological age, your age in years.
Problems With Using 'Epigenetic Clocks' to Determine How Old People Are
From the tap dancing 90-year-old to the 40-year-old who struggles to run a mile, we all know people who seem surprisingly young or old for their age. Scientists believe that it may be possible to distinguish between two types of age: biological age, a measure of how well the body functions, and chronological age, your age in years. Epigenetics, the science of how environmental factors influence our genes, is a promising way to understand the link between the two – and ageing in general.
Ageing: How Our Epigenetic Clocks Slow Down As We Get Older
Monkey Business Images From the tap dancing 90-year-old to the 40-year-old who struggles to run a mile, we all know people who seem surprisingly young or old for their age. Scientists believe that it may be possible to distinguish between two types of age: biological age, a measure of how well the body functions, and chronological age, your age in years.
Aging: How our 'epigenetic clocks' slow down as we get older
Credit: Monkey Business Images From the tap dancing 90-year-old to the 40-year-old who struggles to run a mile, we all know people who seem surprisingly young or old for their age. Scientists believe that it may be possible to distinguish between two types of age: biological age, a measure of how well the body functions, and chronological age, your age in years.
how our 'epigenetic clocks' slow down as we get older
From the tap dancing 90-year-old to the 40-year-old who struggles to run a mile, we all know people who seem surprisingly young or old for their age. Scientists believe that it may be possible to distinguish between two types of age: biological age, a measure of how well the body functions, and chronological age, your age in years. Epigenetics, the science of how environmental factors influence our genes, is a promising way to understand the link between the two – and ageing in general.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Jonathan
Contact Jonathan, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack