A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders
A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders
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.
1-11
Rezwan, Faisal I.
203f8f38-1f5d-485b-ab11-c546b4276338
Docherty, Louise E.
4accb565-e53b-400f-8d62-83935e2ae410
Poole, Rebecca L.
d8fe00fa-9deb-4a34-a7d8-4b7f57ce82fa
Lockett, Gabrielle A.
4d92a28c-f54c-431b-81f6-e82ad9057d7a
Arshad, S. Hasan
917e246d-2e60-472f-8d30-94b01ef28958
Holloway, John W.
4bbd77e6-c095-445d-a36b-a50a72f6fe1a
Temple, I. Karen
d63e7c66-9fb0-46c8-855d-ee2607e6c226
Mackay, Deborah J.G.
588a653e-9785-4a00-be71-4e547850ee4a
21 April 2015
Rezwan, Faisal I.
203f8f38-1f5d-485b-ab11-c546b4276338
Docherty, Louise E.
4accb565-e53b-400f-8d62-83935e2ae410
Poole, Rebecca L.
d8fe00fa-9deb-4a34-a7d8-4b7f57ce82fa
Lockett, Gabrielle A.
4d92a28c-f54c-431b-81f6-e82ad9057d7a
Arshad, S. Hasan
917e246d-2e60-472f-8d30-94b01ef28958
Holloway, John W.
4bbd77e6-c095-445d-a36b-a50a72f6fe1a
Temple, I. Karen
d63e7c66-9fb0-46c8-855d-ee2607e6c226
Mackay, Deborah J.G.
588a653e-9785-4a00-be71-4e547850ee4a
Rezwan, Faisal I., Docherty, Louise E., Poole, Rebecca L., Lockett, Gabrielle A., Arshad, S. Hasan, Holloway, John W., Temple, I. Karen and Mackay, Deborah J.G.
(2015)
A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders.
Clinical Epigenetics, 7 (1), , [48].
(doi:10.1186/s13148-015-0081-5).
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.
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More information
Accepted/In Press date: 6 April 2015
e-pub ahead of print date: 21 April 2015
Published date: 21 April 2015
Organisations:
Human Development & Health, Clinical & Experimental Sciences
Identifiers
Local EPrints ID: 376628
URI: http://eprints.soton.ac.uk/id/eprint/376628
ISSN: 1868-7075
PURE UUID: a0e67b32-d9bf-4b04-96af-2ede9ab22d04
Catalogue record
Date deposited: 06 May 2015 11:25
Last modified: 15 Mar 2024 03:45
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Contributors
Author:
Faisal I. Rezwan
Author:
Louise E. Docherty
Author:
Rebecca L. Poole
Author:
Gabrielle A. Lockett
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