Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis
Publication Details
Nabais, M. F.,
Lin, T.,
Benyamin, B.,
Williams, K. L.,
Garton, F. C.,
Vinkhuyzen, A. A.,
Zhang, F.,
Vallerga, C. L.,
Restuadi, R.,
Freydenzon, A.,
Zwamborn, R. A.,
Hop, P. J.,
Robinson, M. R.,
Gratten, J.,
Visscher, P. M.,
Hannon, E.,
Mill, J.,
Brown, M. A.,
Laing, N. G.,
Mather, K. A.,
Sachdev, P. S.,
Ngo, S. T.,
Steyn, F. J.,
Wallace, L.,
Henders, A. K.,
Needham, M.,
Veldink, J. H.,
Mathers, S.,
Nicholson, G.,
Rowe, D. B.,
Henderson, R. D.,
McCombe, P. A.,
Pamphlett, R.,
Yang, J.,
Blair, I. P.,
McRae, A. F.,
&
Wray, N. R.
(2020).
Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis.
npj Genomic Medicine, 5.
Abstract
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, CI95% = [0.62–0.68], p = 8.3 × 10−22). The maximum AUC achieved was 0.69 (CI95% = [0.66–0.71], p = 4.3 × 10−34) when cell-type proportion was included in the predictor.
npj Genomic Medicine (2020) 5:10 ; https://doi.org/10.1038/s41525-020-0118-3
Keywords
amyotrophic lateral sclerosis, predictive markers
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