Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders

the Australian Imaging Biomarkers and Lifestyle study, Marta F. Nabais, the Alzheimer’s Disease Neuroimaging Initiative, Simon M. Laws, Tian Lin, Costanza L. Vallerga, Nicola J. Armstrong, Ian P. Blair, John B. Kwok, Karen A. Mather, George D. Mellick, Perminder S. Sachdev, Leanne Wallace, Anjali K. Henders, Ramona A. J. Zwamborn, Paul J. Hop, Katie Lunnon, Ehsan Pishva, Janou A. Y. Roubroeks, Hilkka Soininen, Magda Tsolaki, Patrizia Mecocci, Simon Lovestone, Iwona Kłoszewska, Bruno Vellas, Sarah Furlong, Fleur C. Garton, Robert D. Henderson, Susan Mathers, Pamela McCombe, Merrilee Needham, Shyuan T. Ngo, Garth A. Nicholson, Roger Pamphlett, Dominic B. Rowe, Frederik J. Steyn, Kelly L. Williams, Tim Anderson, Steven R. Bentley, John C. Dalrymple‐Alford, Javed Fowder, Jacob Gratten, Glenda M. Halliday, Ian B. Hickie, Martin A. Kennedy, Simon J.G. Lewis, Grant W. Montgomery, John F. Pearson, Toni L. Pitcher, Peter A. Silburn, Futao Zhang, Peter M. Visscher, Jian Yang, Anna J. Stevenson, Robert F. Hillary, Riccardo E. Marioni, Sarah E. Harris, Ian J. Deary, Ashley R. Jones, Aleksey Shatunov, Alfredo Iacoangeli, Wouter van Rheenen, Leonard H. van den Berg, Pamela J. Shaw, Cristopher E. Shaw, Karen Morrison, Ammar Al‐Chalabi, Jan H. Veldink, Eilís Hannon, Jonathan Mill, Naomi R. Wray, Allan F. McRae

Genome biology · 2021

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Summary

We identify shared differentially methylated positions in whole blood between neurodegenerative disorders that point to shared pathogenic mechanisms. These shared differentially methylated positions may reflect causes or consequences of disease, but they are unlikely to reflect cell-type proportion differences.

Source type: Peer-reviewed study
DOI: 10.1186/s13059-021-02275-5
Catalogue ID: SNmohbb0f6-dqhd2n

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