Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Hannah R, Elliott"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The benefits of breastfeeding for the health and wellbeing of both infants and mothers are well documented, yet global breastfeeding rates are low. One factor associated with low breast feeding is maternal body mass index (BMI), which is use
Externí odkaz:
https://doaj.org/article/a72f1f5dbca74b6cbcbf4fea6a588455
Autor:
Prachand Issarapu, Manisha Arumalla, Hannah R. Elliott, Suraj S. Nongmaithem, Alagu Sankareswaran, Modupeh Betts, Sara Sajjadi, Noah J. Kessler, Swati Bayyana, Sohail R. Mansuri, Maria Derakhshan, G. V. Krishnaveni, Smeeta Shrestha, Kalyanaraman Kumaran, Chiara Di Gravio, Sirazul A. Sahariah, Eleanor Sanderson, Caroline L. Relton, Kate A. Ward, Sophie E. Moore, Andrew M. Prentice, Karen A. Lillycrop, Caroline H. D. Fall, Matt J. Silver, Giriraj R. Chandak, the EMPHASIS study group
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Abstract Human height is strongly influenced by genetics but the contribution of modifiable epigenetic factors is under-explored, particularly in low and middle-income countries (LMIC). We investigate links between blood DNA methylation and child hei
Externí odkaz:
https://doaj.org/article/ea9bc0f20bff47a5b3eb1876f8c6f819
Autor:
Daniel L. McCartney, Josine L. Min, Rebecca C. Richmond, Ake T. Lu, Maria K. Sobczyk, Gail Davies, Linda Broer, Xiuqing Guo, Ayoung Jeong, Jeesun Jung, Silva Kasela, Seyma Katrinli, Pei-Lun Kuo, Pamela R. Matias-Garcia, Pashupati P. Mishra, Marianne Nygaard, Teemu Palviainen, Amit Patki, Laura M. Raffield, Scott M. Ratliff, Tom G. Richardson, Oliver Robinson, Mette Soerensen, Dianjianyi Sun, Pei-Chien Tsai, Matthijs D. van der Zee, Rosie M. Walker, Xiaochuan Wang, Yunzhang Wang, Rui Xia, Zongli Xu, Jie Yao, Wei Zhao, Adolfo Correa, Eric Boerwinkle, Pierre-Antoine Dugué, Peter Durda, Hannah R. Elliott, Christian Gieger, The Genetics of DNA Methylation Consortium, Eco J. C. de Geus, Sarah E. Harris, Gibran Hemani, Medea Imboden, Mika Kähönen, Sharon L. R. Kardia, Jacob K. Kresovich, Shengxu Li, Kathryn L. Lunetta, Massimo Mangino, Dan Mason, Andrew M. McIntosh, Jonas Mengel-From, Ann Zenobia Moore, Joanne M. Murabito, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Miina Ollikainen, James S. Pankow, Nancy L. Pedersen, Annette Peters, Silvia Polidoro, David J. Porteous, Olli Raitakari, Stephen S. Rich, Dale P. Sandler, Elina Sillanpää, Alicia K. Smith, Melissa C. Southey, Konstantin Strauch, Hemant Tiwari, Toshiko Tanaka, Therese Tillin, Andre G. Uitterlinden, David J. Van Den Berg, Jenny van Dongen, James G. Wilson, John Wright, Idil Yet, Donna Arnett, Stefania Bandinelli, Jordana T. Bell, Alexandra M. Binder, Dorret I. Boomsma, Wei Chen, Kaare Christensen, Karen N. Conneely, Paul Elliott, Luigi Ferrucci, Myriam Fornage, Sara Hägg, Caroline Hayward, Marguerite Irvin, Jaakko Kaprio, Deborah A. Lawlor, Terho Lehtimäki, Falk W. Lohoff, Lili Milani, Roger L. Milne, Nicole Probst-Hensch, Alex P. Reiner, Beate Ritz, Jerome I. Rotter, Jennifer A. Smith, Jack A. Taylor, Joyce B. J. van Meurs, Paolo Vineis, Melanie Waldenberger, Ian J. Deary, Caroline L. Relton, Steve Horvath, Riccardo E. Marioni
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-25 (2021)
Abstract Background Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in p
Externí odkaz:
https://doaj.org/article/d9c2f9d64559417981cafac594b7aed0
Autor:
Ryan Langdon, Matthew Suderman, Oliver Whitehurst, Hannah R. Elliott, Luke Mahoney, Matthew A. Lee, Caroline L. Relton, Giulia Mancano, Abigail C. Lay, Sarah H. Watkins, James R. Staley, Gibran Hemani, Thomas Battram, Gemma Crawford, Paul Yousefi, Mahsa Sheikhali Babaei, Tom R. Gaunt, Claire Prince, Charlie Hatcher, Gemma Sharp, Sahar Khodabakhsh, María Jesús Vega-Salas
Publikováno v:
Wellcome Open Research, Vol 7 (2022)
Epigenome-wide association studies (EWAS) seek to quantify associations between traits/exposures and DNA methylation measured at thousands or millions of CpG sites across the genome. In recent years, the increase in availability of DNA methylation me
Externí odkaz:
https://doaj.org/article/14ac3ff9c265454984a40484d3a1fd77
Autor:
Ryan Langdon, Matthew Suderman, Oliver Whitehurst, Hannah R. Elliott, Luke Mahoney, Matthew A. Lee, Caroline L. Relton, Giulia Mancano, Abigail C. Lay, Sarah H. Watkins, James R. Staley, Gibran Hemani, Thomas Battram, Gemma Crawford, Paul Yousefi, Mahsa Sheikhali Babaei, Tom R. Gaunt, Claire Prince, Charlie Hatcher, Gemma Sharp, Sahar Khodabakhsh, María Jesús Vega-Salas
Publikováno v:
Wellcome Open Research, Vol 7 (2022)
Epigenome-wide association studies (EWAS) seek to quantify associations between traits/exposures and DNA methylation measured at thousands or millions of CpG sites across the genome. In recent years, the increase in availability of DNA methylation me
Externí odkaz:
https://doaj.org/article/65765757317b41d0b21facf330ef8c4e
Autor:
Felix P Chilunga, MSc, Peter Henneman, PhD, Hannah R Elliott, PhD, H Toinét Cronjé, PhD, Gagandeep K Walia, PhD, Karlijn A C Meeks, PhD, Ana Requena-Mendez, PhD, Andrea Venema, BSc, Silver Bahendeka, PhD, Ina Danquah, PhD, Adebowale Adeyemo, MD, Kerstin Klipstein-Grobusch, PhD, Marlien Pieters, ProfPhD, Marcels M A M Mannens, ProfPhD, Charles Agyemang, ProfPhD
Publikováno v:
The Lancet. Healthy Longevity, Vol 2, Iss 6, Pp e327-e339 (2021)
Summary: Background: African populations are going through health transitions due to rapid urbanisation and international migration. However, the role of biological ageing in the emerging burden of cardiometabolic diseases among migrant and non-migra
Externí odkaz:
https://doaj.org/article/d6fa5e07aafd48b18e5efc070134db70
Autor:
Héléne Toinét Cronjé, Hannah R. Elliott, Cornelie Nienaber-Rousseau, Fiona R. Green, Aletta E. Schutte, Marlien Pieters
Publikováno v:
Frontiers in Immunology, Vol 11 (2020)
DNA methylation data can be used to estimate proportions of leukocyte subsets retrospectively, when directly measured cell counts are unavailable. The methylation-derived neutrophil-to-lymphocyte and lymphocyte-to-monocyte ratios (mdNLRs and mdLMRs)
Externí odkaz:
https://doaj.org/article/391412f981d3444489342c64cb2d14bd
Autor:
Nabila Kazmi, Hannah R Elliott, Kim Burrows, Therese Tillin, Alun D Hughes, Nish Chaturvedi, Tom R Gaunt, Caroline L Relton
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0227728 (2020)
BackgroundHigh blood pressure is a major risk factor for cardiovascular disease and is influenced by both environmental and genetic factors. Epigenetic processes including DNA methylation potentially mediate the relationship between genetic factors,
Externí odkaz:
https://doaj.org/article/2b8fef1942a94d61bc541c6bf9cfca05
Autor:
Diana L. Juvinao-Quintero, Gemma C. Sharp, Eleanor C. M. Sanderson, Caroline L. Relton, Hannah R. Elliott
Publikováno v:
Diabetologia.
Aims/hypothesis Several studies have identified associations between type 2 diabetes and DNA methylation (DNAm). However, the causal role of these associations remains unclear. This study aimed to provide evidence for a causal relationship between DN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08a7e2bc08bc034cfefbe435725aa304
https://doi.org/10.1007/s00125-023-05914-7
https://doi.org/10.1007/s00125-023-05914-7
Autor:
Nicolas Fragoso-Bargas, Hannah R. Elliott, Sindre Lee-Ødegård, Julia O. Opsahl, Line Sletner, Anne Karen Jenum, Christian A. Drevon, Elisabeth Qvigstad, Gunn-Helen Moen, Kåre I. Birkeland, Rashmi B. Prasad, Christine Sommer
Publikováno v:
Diabetes.
Although there are some epigenome-wide association studies (EWAS) of insulin resistance, for most of them authors did not replicate their findings, and most are focused on populations of European ancestry, limiting the generalizability. In the Epigen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::807cce1b86aa15b25384e454d13231f1
https://pubmed.ncbi.nlm.nih.gov/36534481
https://pubmed.ncbi.nlm.nih.gov/36534481