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Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis

We conducted DNA methylation association analyses using Illumina 450K data from whole blood for an Australian amyotrophic lateral sclerosis (ALS) case–control cohort (782 cases and 613 controls). Analyses used mixed linear models as implemented in the OSCA software. We found a significantly higher p...

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Autores principales: Nabais, Marta F., Lin, Tian, Benyamin, Beben, Williams, Kelly L., Garton, Fleur C., Vinkhuyzen, Anna A. E., Zhang, Futao, Vallerga, Costanza L., Restuadi, Restuadi, Freydenzon, Anna, Zwamborn, Ramona A. J., Hop, Paul J., Robinson, Matthew R., Gratten, Jacob, Visscher, Peter M., Hannon, Eilis, Mill, Jonathan, Brown, Matthew A., Laing, Nigel G., Mather, Karen A., Sachdev, Perminder S., Ngo, Shyuan T., Steyn, Frederik J., Wallace, Leanne, Henders, Anjali K., Needham, Merrilee, Veldink, Jan H., Mathers, Susan, Nicholson, Garth, Rowe, Dominic B., Henderson, Robert D., McCombe, Pamela A., Pamphlett, Roger, Yang, Jian, Blair, Ian P., McRae, Allan F., Wray, Naomi R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7046630/
https://www.ncbi.nlm.nih.gov/pubmed/32140259
http://dx.doi.org/10.1038/s41525-020-0118-3
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author Nabais, Marta F.
Lin, Tian
Benyamin, Beben
Williams, Kelly L.
Garton, Fleur C.
Vinkhuyzen, Anna A. E.
Zhang, Futao
Vallerga, Costanza L.
Restuadi, Restuadi
Freydenzon, Anna
Zwamborn, Ramona A. J.
Hop, Paul J.
Robinson, Matthew R.
Gratten, Jacob
Visscher, Peter M.
Hannon, Eilis
Mill, Jonathan
Brown, Matthew A.
Laing, Nigel G.
Mather, Karen A.
Sachdev, Perminder S.
Ngo, Shyuan T.
Steyn, Frederik J.
Wallace, Leanne
Henders, Anjali K.
Needham, Merrilee
Veldink, Jan H.
Mathers, Susan
Nicholson, Garth
Rowe, Dominic B.
Henderson, Robert D.
McCombe, Pamela A.
Pamphlett, Roger
Yang, Jian
Blair, Ian P.
McRae, Allan F.
Wray, Naomi R.
author_facet Nabais, Marta F.
Lin, Tian
Benyamin, Beben
Williams, Kelly L.
Garton, Fleur C.
Vinkhuyzen, Anna A. E.
Zhang, Futao
Vallerga, Costanza L.
Restuadi, Restuadi
Freydenzon, Anna
Zwamborn, Ramona A. J.
Hop, Paul J.
Robinson, Matthew R.
Gratten, Jacob
Visscher, Peter M.
Hannon, Eilis
Mill, Jonathan
Brown, Matthew A.
Laing, Nigel G.
Mather, Karen A.
Sachdev, Perminder S.
Ngo, Shyuan T.
Steyn, Frederik J.
Wallace, Leanne
Henders, Anjali K.
Needham, Merrilee
Veldink, Jan H.
Mathers, Susan
Nicholson, Garth
Rowe, Dominic B.
Henderson, Robert D.
McCombe, Pamela A.
Pamphlett, Roger
Yang, Jian
Blair, Ian P.
McRae, Allan F.
Wray, Naomi R.
author_sort Nabais, Marta F.
collection PubMed
description We conducted DNA methylation association analyses using Illumina 450K data from whole blood for an Australian amyotrophic lateral sclerosis (ALS) case–control cohort (782 cases and 613 controls). Analyses used mixed linear models as implemented in the OSCA software. We found a significantly higher proportion of neutrophils in cases compared to controls which replicated in an independent cohort from the Netherlands (1159 cases and 637 controls). The OSCA MOMENT linear mixed model has been shown in simulations to best account for confounders. When combined in a methylation profile score, the 25 most-associated probes identified by MOMENT significantly classified case–control status in the Netherlands sample (area under the curve, AUC = 0.65, CI(95%) = [0.62–0.68], p = 8.3 × 10(−22)). The maximum AUC achieved was 0.69 (CI(95%) = [0.66–0.71], p = 4.3 × 10(−34)) when cell-type proportion was included in the predictor.
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spelling pubmed-70466302020-03-05 Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis Nabais, Marta F. Lin, Tian Benyamin, Beben Williams, Kelly L. Garton, Fleur C. Vinkhuyzen, Anna A. E. Zhang, Futao Vallerga, Costanza L. Restuadi, Restuadi Freydenzon, Anna Zwamborn, Ramona A. J. Hop, Paul J. Robinson, Matthew R. Gratten, Jacob Visscher, Peter M. Hannon, Eilis Mill, Jonathan Brown, Matthew A. Laing, Nigel G. Mather, Karen A. Sachdev, Perminder S. Ngo, Shyuan T. Steyn, Frederik J. Wallace, Leanne Henders, Anjali K. Needham, Merrilee Veldink, Jan H. Mathers, Susan Nicholson, Garth Rowe, Dominic B. Henderson, Robert D. McCombe, Pamela A. Pamphlett, Roger Yang, Jian Blair, Ian P. McRae, Allan F. Wray, Naomi R. NPJ Genom Med Article We conducted DNA methylation association analyses using Illumina 450K data from whole blood for an Australian amyotrophic lateral sclerosis (ALS) case–control cohort (782 cases and 613 controls). Analyses used mixed linear models as implemented in the OSCA software. We found a significantly higher proportion of neutrophils in cases compared to controls which replicated in an independent cohort from the Netherlands (1159 cases and 637 controls). The OSCA MOMENT linear mixed model has been shown in simulations to best account for confounders. When combined in a methylation profile score, the 25 most-associated probes identified by MOMENT significantly classified case–control status in the Netherlands sample (area under the curve, AUC = 0.65, CI(95%) = [0.62–0.68], p = 8.3 × 10(−22)). The maximum AUC achieved was 0.69 (CI(95%) = [0.66–0.71], p = 4.3 × 10(−34)) when cell-type proportion was included in the predictor. Nature Publishing Group UK 2020-02-27 /pmc/articles/PMC7046630/ /pubmed/32140259 http://dx.doi.org/10.1038/s41525-020-0118-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Nabais, Marta F.
Lin, Tian
Benyamin, Beben
Williams, Kelly L.
Garton, Fleur C.
Vinkhuyzen, Anna A. E.
Zhang, Futao
Vallerga, Costanza L.
Restuadi, Restuadi
Freydenzon, Anna
Zwamborn, Ramona A. J.
Hop, Paul J.
Robinson, Matthew R.
Gratten, Jacob
Visscher, Peter M.
Hannon, Eilis
Mill, Jonathan
Brown, Matthew A.
Laing, Nigel G.
Mather, Karen A.
Sachdev, Perminder S.
Ngo, Shyuan T.
Steyn, Frederik J.
Wallace, Leanne
Henders, Anjali K.
Needham, Merrilee
Veldink, Jan H.
Mathers, Susan
Nicholson, Garth
Rowe, Dominic B.
Henderson, Robert D.
McCombe, Pamela A.
Pamphlett, Roger
Yang, Jian
Blair, Ian P.
McRae, Allan F.
Wray, Naomi R.
Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis
title Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis
title_full Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis
title_fullStr Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis
title_full_unstemmed Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis
title_short Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis
title_sort significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7046630/
https://www.ncbi.nlm.nih.gov/pubmed/32140259
http://dx.doi.org/10.1038/s41525-020-0118-3
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