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一种用于人类甲基化450芯片数据单样本分析的统计方法:印记障碍患者的全基因组甲基化分析。

A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders.

作者信息

Rezwan Faisal I, Docherty Louise E, Poole Rebecca L, Lockett Gabrielle A, Arshad S Hasan, Holloway John W, Temple I Karen, Mackay Deborah Jg

机构信息

Human Development and Health, Faculty of Medicine, University of Southampton, Tremona Road, Southampton, Hampshire SO16 6YD UK.

Human Development and Health, Faculty of Medicine, University of Southampton, Tremona Road, Southampton, Hampshire SO16 6YD UK ; Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury District Hospital, Salisbury, Wilts SO2 8BJ UK.

出版信息

Clin Epigenetics. 2015 Apr 21;7(1):48. doi: 10.1186/s13148-015-0081-5. eCollection 2015.

Abstract

BACKGROUND

The Illumina Infinium HumanMethylation450 BeadChip is an array-based technology for analysing DNA methylation at approximately 475,000 differentially methylated cytosines across the human genome. Hitherto, the array has been used for case-control studies, where sample numbers can be sufficient to yield statistically robust data on a genome-wide basis. We recently reported an informatic pipeline capable of yielding statistically and biologically significant results using only five cases, which expanded the use of this technology to rare disease studies. However, the clinical application of these technologies requires the ability to perform robust analysis of individual patients.

RESULTS

Here we report a novel informatic approach for methylation array analysis of single samples, using the Crawford-Howell t-test. We tested our approach on patients with ultra-rare imprinting disorders with aberrant DNA methylation at multiple locations across the genome, which was previously detected by targeted testing. However, array analysis outperformed targeted assays in three ways: it detected loci not normally analysed by targeted testing, detected methylation changes too subtle to detect by the targeted testing and reported broad and consistent methylation changes across genetic loci not captured by point testing.

CONCLUSIONS

This method has potential clinical utility for human disorders where DNA methylation change may be a biomarker of disease.

摘要

背景

Illumina Infinium HumanMethylation450 芯片是一种基于阵列的技术,用于分析人类基因组中约475,000个差异甲基化胞嘧啶的DNA甲基化情况。迄今为止,该阵列已用于病例对照研究,在这类研究中样本数量足以在全基因组范围内产生具有统计学稳健性的数据。我们最近报告了一种信息学流程,仅使用五个病例就能产生具有统计学和生物学意义的结果,这将该技术的应用扩展到了罕见病研究。然而,这些技术的临床应用需要具备对个体患者进行稳健分析的能力。

结果

在此,我们报告一种使用克劳福德 - 豪厄尔t检验对单样本进行甲基化阵列分析的新型信息学方法。我们在患有超罕见印记障碍且基因组多个位置存在异常DNA甲基化的患者身上测试了我们的方法,这些异常此前是通过靶向检测发现的。然而,阵列分析在三个方面优于靶向检测:它检测到了靶向检测通常不分析的位点,检测到了靶向检测过于细微而无法检测到的甲基化变化,并报告了点检测未涵盖的基因座上广泛且一致的甲基化变化。

结论

这种方法对于DNA甲基化变化可能是疾病生物标志物的人类疾病具有潜在的临床应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0bf/4410592/8052d6bb551e/13148_2015_81_Fig1_HTML.jpg

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