ArticleClinical epigenetics2015
A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders.
Article in Clinical epigenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Article
- Article
- Identification of differentially methylated regions in rare diseases from a single-patient perspective.Clinical epigenetics · 2022Article
- Increased copy number of imprinted genes in the chromosomal region 20q11-q13.32 is associated with resistance to antitumor agents in cancer cell lines.Clinical epigenetics · 2022Article
- Genome-wide methylation analysis in Silver-Russell syndrome, Temple syndrome, and Prader-Willi syndrome.Clinical epigenetics · 2020Article
- The phenotypic variations of multi-locus imprinting disturbances associated with maternal-effect variants of NLRP5 range from overt imprinting disorder to apparently healthy phenotype.Clinical epigenetics · 2019Article
- Genome-wide methylation profiling of Beckwith-Wiedemann syndrome patients without molecular confirmation after routine diagnostics.Clinical epigenetics · 2019Article
- IBI: Identification of Biomarker Genes in Individual Tumor Samples.Frontiers in genetics · 2019Article
- Diagnosis and management of Silver-Russell syndrome: first international consensus statement.Nature reviews. Endocrinology · 2017Article
- New developments in Silver-Russell syndrome and implications for clinical practice.Epigenomics · 2016Review
- Mutations in NLRP5 are associated with reproductive wastage and multilocus imprinting disorders in humans.Nature communications · 2015Article
- Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundThe 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.
resultsHere 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.
conclusionsThis method has potential clinical utility for human disorders where DNA methylation change may be a biomarker of disease.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.