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

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作者: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
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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